Skip to content

yosuke-yasuda/data_analisis_tutorial

Repository files navigation

data_analisis_tutorial

勉強会用レポジトリ

環境

バージョン

python 2.7

ライブラリ

  • decorator==3.4.2
  • funcsigs==0.4
  • matplotlib==1.4.3
  • mock==1.2.0
  • networkx==1.9.1
  • nltk==3.0.4
  • nose==1.3.7
  • numpy==1.9.2
  • pbr==1.3.0
  • pyparsing==2.0.3
  • python-dateutil==2.4.2
  • python-louvain==0.4
  • pytz==2015.4
  • scikit-learn==0.16.1
  • community

ライブラリインストール

$ pip install -r requirements.txt

communityはこちらを参考に

データをセット

data/以下に、mission.facet.2.tsvmission.pairs.tsvselected_pairs.tsvを入れる

データ修正

tsv,区切りになっているので、ファイルを修正

$ cat data/selected_pairs.tsv| tr ',' '\t'  > data/_selected_pairs.tsv
$ mv data/_selected_pairs.tsv data/selected_pairs.tsv

描画結果

selected_pairs

結果

mission.pairs

結果

セントロイド抽出結果

community4 count8172(24.9%)


  • brain:0.072744633813
  • studi:0.0567753727706
  • correl:0.0555539587486
  • process:0.0523508223202
  • fmri:0.0482326104747
  • activ:0.0442766017731
  • memori:0.0425555786907
  • connect:0.0395569553584
  • disord:0.038189251777
  • attent:0.0378429939897
  • cortex:0.0332452199021
  • respons:0.0277350392028
  • schizophrenia:0.0274277443699
  • network:0.0264617827311
  • work:0.0257441896742
  • percept:0.0250704737886
  • effect:0.0249371158147
  • face:0.0247269637731
  • imag:0.0238328453924
  • modul:0.0234984259312

  • Cognitive Demands of Lower Paleolithic Toolmaking:0.233634094551
  • Decision-related loss: Regret and disappointment:0.233634094551
  • The units of thought:0.233634094551
  • Ictal singing: case report and reappraisal of the literature:0.233634094551
  • The functional anatomy of gaze-evoked tinnitus and sustained lateral gaze:0.233634094551
  • The neurobiology of psychopathy:0.233634094551
  • Hemispheric asymmetry in the fusiform gyrus distinguishes Homo sapiens from chimpanzees:0.233634094551
  • An early attentional bias to BEGIN-stimuli of the smoking ritual is accompanied with mesocorticolimbic deactivations in smokers:0.233634094551
  • The neuroethology of friendship:0.233634094551
  • Functional parcellation of the inferior frontal and midcingulate cortices in a flanker-stop-change paradigm:0.233634094551

community2 count6658(20.3%)


  • model:0.0798068245731
  • network:0.0604571746802
  • spike:0.0592839020544
  • neuron:0.0591440280747
  • learn:0.0465948323512
  • dynam:0.0440287996692
  • memori:0.0415371112072
  • plastic:0.0365535869813
  • activ:0.0347250238495
  • cell:0.0315029209085
  • cortex:0.0293081884127
  • oscil:0.0287925920879
  • code:0.0286109566269
  • system:0.0281423188264
  • field:0.0249969179202
  • pattern:0.0239745545327
  • synaps:0.0236113326576
  • mechan:0.0229417816075
  • circuit:0.0223672006723
  • comput:0.0222035914649

  • The Neuronal Replicator Hypothesis:0.226796293258
  • Brain-Machine Interfaces beyond Neuroprosthetics:0.226796293258
  • Moving the goal posts: a reply to Dawson and Piercey:0.226796293258
  • Heteroclinic contours in neural ensembles and the winnerless competition principle:0.226796293258
  • Mesoscopic neurodynamics:0.226796293258
  • Semiconductor Nanomembrane Tubes: Three-Dimensional Confinement for Controlled Neurite Outgrowth:0.226796293258
  • Buildup and decay of a three-dimensional rotational aftereffect obtained with a three-dimensional figure:0.226796293258
  • Basal ganglia physiology and pathophysiology: A reappraisal:0.226796293258
  • JS Bach's Passacaglia and Walter Benjamin's Das Passagen-Werk - literary montage as mosaic in Memorandum. A story with paintings (2006):0.226796293258
  • NEUROPOIESIS - PROPOSAL FOR A CONNECTIONISTIC NEUROBIOLOGY:0.226796293258

community3 count4642(14.2%)


  • delay:0.272348927178
  • stabil:0.236412359573
  • network:0.148534954223
  • synchron:0.102576952813
  • analysi:0.0777274532985
  • system:0.0732028770182
  • solut:0.0633213495913
  • time:0.0549127352078
  • class:0.0527869693783
  • control:0.0517511430664
  • criteria:0.0465833739477
  • uncertain:0.0453511038152
  • recurr:0.044005883339
  • distribut:0.0417669974023
  • coupl:0.0411658743916
  • jump:0.0402546146693
  • mix:0.0397989603556
  • bam:0.0396387400218
  • robust:0.038450637056
  • hopfield:0.0379348572683

  • On pth moment exponential stability of stochastic Cohen-Grossberg neural networks with time-varying delays:0.337605018989
  • A proof of Kaszkurewicz and Bhaya's conjecture on absolute stability of neural networks in two-neuron case:0.40108155958
  • Exponential stability preservation in discrete-time analogues of artificial neural networks with distributed delays:0.41501164654
  • Delay-Dependent Stability Criterion of Caputo Fractional Neural Networks with Distributed Delay:0.41501164654
  • GUARANTEED COST STABILIZATION OF CELLULAR NEURAL NETWORKS WITH TIME-VARYING DELAY:0.41501164654
  • Razumikhin-type theorems on stability of stochastic neural networks with delays:0.41501164654
  • pth moment exponential stability of stochastic cohen-grossberg neural networks with time-varying delays:0.41501164654
  • Global exponential stability of time-varying delay neural networks via razumikhin technique:0.41501164654
  • On a general decay stability of stochastic Cohen-Grossberg neural networks with time-varying delays (vol 219, pg 2289, 2012):0.41501164654
  • Exponential stability of impulsive high-order Hopfield-type neural networks with time-varying delays:0.41501164654

community1 count2612(8.0%)


  • network:0.131642368803
  • learn:0.101531065856
  • memori:0.100156576325
  • model:0.0825255834015
  • perceptron:0.0741405259889
  • hopfield:0.0605441570373
  • dynam:0.0576593785521
  • capac:0.0573661036274
  • pattern:0.0553144164732
  • storag:0.0438570908791
  • gener:0.0359849727992
  • retriev:0.0336040693104
  • neural-network:0.032170028987
  • algorithm:0.0317733136851
  • attractor:0.0302537908892
  • multilay:0.0271779335742
  • rule:0.027014308741
  • recognit:0.0247732657439
  • properti:0.0247035341418
  • use:0.0232553192182

  • A Neural Networks-Based Hybrid Routing Protocol for Wireless Mesh Networks:0.27153344637
  • Conducting swift heavy ion track networks:0.276570109299
  • STABILITY-CAPACITY DIAGRAM OF A NEURAL NETWORK WITH ISING BONDS:0.276570109299
  • Immune networks: multitasking capabilities near saturation:0.276570109299
  • COMPUTER-MODEL OF A SENSE OF HUMOR .2. REALIZATION IN NEURAL NETWORKS:0.276570109299
  • EXTENSIONS OF A SOLVABLE FEED FORWARD NEURAL NETWORK:0.290567112541
  • A MAXIMUM OVERLAP NEURAL NETWORK FOR PATTERN-RECOGNITION:0.290567112541
  • LYAPUNOV EXPONENTS AND DIMENSIONS OF CHAOTIC NEURAL NETWORKS:0.290567112541
  • Categorization ability in a biologically motivated neural network:0.290567112541
  • Quantifying the osteocyte network in the human skeleton:0.290567112541

community5 count2419(7.4%)


  • brain:0.0927409423192
  • connect:0.076892874775
  • network:0.0628078376894
  • synchron:0.0409938011058
  • model:0.0404404433428
  • schizophrenia:0.0358634843951
  • eeg:0.0354241561833
  • dynam:0.034507352683
  • reson:0.0341506803342
  • causal:0.0324794415026
  • oscil:0.0310471957296
  • activ:0.0296433952051
  • coupl:0.0292211508706
  • studi:0.0289317694832
  • analysi:0.0277911234625
  • epilepsi:0.0276765210109
  • read:0.0265333769752
  • synchroni:0.0237962203588
  • stimul:0.0236802613749
  • neuron:0.0235045831757

  • Cultural neurolinguistics:0.238361664921
  • Small worlds: How and why:0.238361664921
  • Interactive rTMS protocols in psychiatry:0.238361664921
  • Harmony in the small-world:0.238361664921
  • Are proprioceptive-induced reflex seizures epileptically-enhanced stretch reflex manifestations?:0.238361664921
  • NORMAL ANATOMY AND NEUROPHYSIOLOGY OF THE HIPPOCAMPAL-FORMATION:0.238361664921
  • Electromyographic Permutation Entropy Quantifies Diaphragmatic Denervation and Reinnervation:0.238361664921
  • Python as a Federation Tool for GENESIS 3.0:0.238361664921
  • What Is a Seizure Focus?:0.238361664921
  • Self-emergence of knowledge trees: Extraction of the Wikipedia hierarchies:0.238361664921

community0 count2076(6.3%)


  • problem:0.150847935706
  • network:0.117976058907
  • optim:0.106552739637
  • solv:0.0908048893831
  • algorithm:0.0606912933583
  • hopfield:0.0529726469947
  • program:0.0528698370321
  • use:0.0523969639458
  • approach:0.047761024361
  • applic:0.0450087100944
  • chao:0.0445294105754
  • model:0.0435044914309
  • recurr:0.0426459216176
  • neural-network:0.041383119537
  • system:0.0409766069499
  • control:0.0379002939461
  • linear:0.0345228554601
  • comput:0.0317035928361
  • dynam:0.03024146494
  • base:0.0291671008588

  • ONE-LAYER FEEDFORWARD NEURAL NETWORK FOR FAST MAXIMUM MINIMUM DETERMINATION:0.301985608262
  • Neural Network for Nonsmooth, Nonconvex Constrained Minimization Via Smooth Approximation:0.301985608262
  • Minimum energy configurations of the 2-dimensional HP-model of proteins by self-organizing networks:0.304217851297
  • Decomposition co-ordination artificial neural network for satellite broadcast scheduling:0.304217851297
  • Fair TDMA scheduling in wireless multihop networks:0.310127202088
  • EASING THE CONSCIENCE OF THE GUILTY NET:0.323689692225
  • Self-annealing and self-annihilation: unifying deterministic annealing and relaxation labeling:0.323689692225
  • The concave-convex procedure:0.323689692225
  • Time-adaptive vector A/D conversion:0.323689692225
  • HOPFIELD-TANK NEURAL NET - WALSH TO FOURIER-TRANSFORM:0.323689692225

community6 count2068(6.3%)


  • respiratori:0.0699429563729
  • gener:0.062038021724
  • pattern:0.0614169246274
  • control:0.0591192799484
  • locomot:0.0573423093715
  • neuron:0.0570602933753
  • motor:0.0543543089389
  • activ:0.0529023797955
  • circuit:0.0485098609832
  • modul:0.0434306007623
  • network:0.0406321330543
  • develop:0.0401671309557
  • cord:0.0396984962843
  • model:0.0380470363315
  • system:0.0377234384767
  • mechan:0.0298566171539
  • behavior:0.0282599919857
  • rhythm:0.0280667374752
  • interneuron:0.0266395578991
  • robot:0.0264296518773

  • New neural nets:0.240776592733
  • Acute carbon dioxide avoidance in Caenorhabditis elegans:0.240776592733
  • RESPIRATORY-RELATED NEURAL ASSEMBLIES IN THE BRAIN-STEM MIDLINE:0.240776592733
  • Closed-loop optogenetic intervention in mice:0.240776592733
  • Electroporation loading of calcium-sensitive dyes into the CNS:0.240776592733
  • THE COMPUTATIONAL LEECH:0.240776592733
  • BRAIN-STEM NEUROMODULATION AND REM-SLEEP:0.240776592733
  • Checks and balances in neuromodulation:0.240776592733
  • Flapping flexible fish - Periodic and secular body reconfigurations in swimming lamprey, Petromyzon marinus:0.240776592733
  • Neuronal pacemaker for breathing visualized in vitro:0.240776592733

community9 count1190(3.6%)


  • cnn:0.187170032446
  • cellular:0.139845707161
  • network:0.109651558157
  • imag:0.0687762137719
  • implement:0.061393330819
  • design:0.0518573184593
  • system:0.0486878102441
  • base:0.0471425018183
  • applic:0.0469391957035
  • nonlinear:0.038202672675
  • analog:0.0380690904248
  • use:0.0379636414917
  • pattern:0.0355381832036
  • algorithm:0.0347757004847
  • process:0.0343180464265
  • circuit:0.0342335539444
  • stabil:0.0340281110425
  • analysi:0.0339814443181
  • wave:0.0323817218292
  • model:0.0306162291719

  • A cellular neural network for clustering-based adaptive quantization in subband video compression:0.333502755659
  • Homogenization of periodic electrical networks including voltage to current amplifiers:0.333502755659
  • A DIGITAL MULTIPROCESSOR HARDWARE ACCELERATOR BOARD FOR CELLULAR NEURAL NETWORKS - CNN-HAC:0.333502755659
  • Toward visual microprocessors:0.341528090611
  • A bio-inspired two-layer mixed-signal flexible programmable chip for early vision:0.341528090611
  • Issues of nanoelectronics: A possible roadmap:0.341528090611
  • The spatiotemporal prisoner's dilemma:0.341528090611
  • Considerations about nanoelectronic GSI processors:0.341528090611
  • A low-power orientation-selective vision sensor:0.341528090611
  • EXPERIMENTAL-VERIFICATION OF HORSESHOES FROM ELECTRONIC-CIRCUITS:0.341528090611

community10 count1139(3.5%)


  • model:0.107498364556
  • learn:0.100160269755
  • connectionist:0.0671398481226
  • network:0.0554268238153
  • recurr:0.0532993883367
  • control:0.0527076244154
  • languag:0.0525035089199
  • movement:0.0516396504884
  • comput:0.0459936673055
  • system:0.0453257440253
  • motor:0.0399685847595
  • develop:0.0383964527576
  • robot:0.0337562223077
  • gener:0.0330358875528
  • simul:0.0323164509672
  • use:0.028986295183
  • represent:0.0268707627468
  • process:0.0233520333527
  • dynam:0.0227587596931
  • approach:0.0209701826274

  • SHADOWING ON FRACTALS:0.261449920619
  • THE ADAPTIVE-CONTROL OF A 4-DEGREES-OF-FREEDOM STEREO CAMERA HEAD:0.261449920619
  • A NEURAL COMPILER:0.261449920619
  • Artificial life and Piaget:0.261449920619
  • A defence of functional modularity:0.261449920619
  • LINEAR-SYSTEMS WITH SIGN-OBSERVATIONS:0.261449920619
  • Hypercomputation:0.261449920619
  • Rethinking eliminative connectionism:0.261449920619
  • Dominant-language replacement: The case of international adoptees:0.261449920619
  • Artificial life and Piaget:0.261449920619

community7 count1023(3.1%)


  • model:0.100567015336
  • learn:0.0650455921556
  • network:0.0622027132173
  • segment:0.0586418914102
  • oscil:0.0575162917912
  • recognit:0.0539773634419
  • object:0.0467071767209
  • use:0.0359034496378
  • code:0.0352629877945
  • attent:0.034502430458
  • map:0.0344569808839
  • imag:0.0337747245059
  • oscillatori:0.0325807065409
  • field:0.0325736197713
  • develop:0.0324353212926
  • cortex:0.0316774747976
  • coupl:0.031185540811
  • synchron:0.0301507956508
  • neuron:0.0294808381252
  • comput:0.0281517471067

  • A DEEPER UNITY - SOME FEYERABENDIAN THEMES IN NEUROCOMPUTATIONAL FORM:0.255925512388
  • Cognitive conflict without explicit conflict monitoring in a dynamical agent:0.255925512388
  • Elemental operations in vision:0.255925512388
  • Bistable neuromodules:0.255925512388
  • Boundary completion in illusory contours: Interpolation or extrapolation?:0.255925512388
  • Synchronisation in neural assemblies:0.255925512388
  • Slice sampling - Discussion:0.255925512388
  • Optimal extraction of hidden causes:0.255925512388
  • Chemical kinetics is turing universal:0.255925512388
  • THE MOD-2 NEUROCOMPUTER SYSTEM-DESIGN:0.255925512388

community8 count592(1.8%)


  • bifurc:0.284221437034
  • delay:0.171691943578
  • hopf:0.139904803037
  • network:0.107258441479
  • system:0.0995611306074
  • chao:0.096952378656
  • analysi:0.0955398482645
  • stabil:0.0913704880645
  • model:0.0693894691796
  • oscil:0.0675218166047
  • neuron:0.0624548971296
  • coupl:0.0613882192215
  • dynam:0.0612485166016
  • solut:0.0534380058066
  • equat:0.050990042049
  • hopfield:0.0507212909252
  • class:0.0425336288235
  • time:0.0425026224556
  • synchron:0.0411982681513
  • bam:0.0364297550033

  • Evaluating Lyapunov exponent spectra with neural networks:0.470180030258
  • Evolved neurocontrollers for pole-balancing:0.474945024198
  • Evolving neurocontrollers for balancing an inverted pendulum:0.474945024198
  • Special issue in honor of Pauline van den Driessche - Preface:0.474945024198
  • Common non-trivial invariant closed cones for commuting contractions:0.474945024198
  • High-dimensional chaotic neural network under external sinusoidal force:0.50849923763
  • TWO KINDS OF HORSESHOES IN A HYPERCHAOTIC NEURAL NETWORK:0.50849923763
  • Zero singularities in a ring network with two delays:0.516043119851
  • Bifurcation analysis in the delayed Leslie-Gower predator-prey system (Retracted article. See vol. 37, pg. 9451, 2013):0.570717894175
  • RECURSIVE CONSTRUCTION OF PERIODIC STEADY-STATE FOR NEURAL NETWORKS:0.592466766033

community11 count144(0.4%)


  • integr:0.0975797007537
  • model:0.091563481405
  • neuron:0.0532802537275
  • role:0.0514413904433
  • activ:0.0477660906215
  • code:0.0474317158934
  • network:0.0440335535026
  • space:0.0409604992234
  • enhanc:0.0400989222222
  • brain:0.0388812828032
  • interact:0.038043580734
  • epilepsi:0.0366894081805
  • inform:0.0345127987145
  • percept:0.0322328861687
  • signal:0.0320429330971
  • respons:0.0312646198795
  • represent:0.0295588169061
  • studi:0.0280432086535
  • cortex:0.0278247014773
  • modul:0.026822897872

  • Tools for the body (schema):0.25609037034
  • All vertebrates started out with a glial blood-brain barrier 4-500 million years ago:0.25609037034
  • Thyroid hormone and astrocyte morphogenesis:0.25609037034
  • OPINION Disentangling calcium-driven astrocyte physiology:0.25609037034
  • Depletion of Extracellular Ca2+ Prompts Astroglia to Moderate Synaptic Network Activity:0.435660471121
  • Physiology of neuronal-glial networking:0.501381964856
  • Subthreshold Membrane Depolarization as Memory Trace for Perceptual Learning:0.699863732861
  • Rab22B Is Expressed in the CNS Astroglia Lineage and Plays a Role in Epidermal Growth Factor Receptor Trafficking in A431 Cells:0.737399111505
  • Optical imaging of visually guided reaching in macaque posterior parietal cortex:0.740886009411
  • Regulation of Local Ambient GABA Levels via Transporter-Mediated GABA Import and Export for Subliminal Learning:0.749309789782

community12 count66(0.2%)


  • condit:0.235391129298
  • model:0.129371251695
  • approach:0.116996878305
  • learn:0.113214815975
  • map:0.105717191529
  • stimulu:0.10394592158
  • set:0.0985418339323
  • hippocampu:0.0898290202744
  • function:0.0746906746933
  • inhibit:0.0698735320997
  • network:0.0679480602262
  • time:0.0612845312976
  • lesion:0.0517559200547
  • mechan:0.0488690658598
  • cognit:0.0474057177452
  • role:0.0473405202822
  • dysfunct:0.0429771870595
  • schizophrenia:0.0413524521092
  • attent:0.0401479391533
  • process:0.0401146569571

  • Latent learning, shortcuts and detours: a computational model:0.704983082896
  • Escape, avoidance, and imitation: A neural network approach:0.752674976697
  • Latent Inhibition and Compound Conditioning: A Reply to Holmes and Harris (2009):0.807487857143
  • Effect of distracter preexposure on the reset of an internal clock:0.81539246228
  • Stimulus specificity of concurrent recovery in the rabbit nictitating membrane response:0.855092582102
  • Proteus caught in a (neural) net. Animal learning and cognition: A neural network approach:0.918380445651
  • Expression of the CS- and US-pre-exposure effects in the conditioned taste aversion paradigm and their abolition following systemic amphetamine treatment in C57BL6/J mice:0.919193900684
  • HIPPOCAMPECTOMY DISRUPTS THE TOPOGRAPHY OF THE RAT EYEBLINK RESPONSE DURING ACQUISITION AND EXTINCTION OF CLASSICAL-CONDITIONING:0.920334289996
  • Water maze performance, exploratory activity, inhibitory avoidance and hippocampal plasticity in aged superior and inferior learners:0.925408039058
  • Disruption of learned irrelevance in acute schizophrenia in a novel continuous within-subject paradigm suitable for fMR1:0.975511293935

About

勉強会用レポジトリ

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages