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108 | 108 | Adam Wawrzeńczyk.
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109 | 109 | Thanks!
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110 | 110 |
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111 |
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163 | 111 | | | dataset | *n* | *d* | reference labels | *k* | noise points | *g* |
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164 | 112 | |:---|:-------------------|:------|:------|:-------------------|------:|---------------:|------:|
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165 | 113 | | 1 | **circles** | 4000 | 2 | labels0 | 4 | 0 | 0 |
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@@ -220,64 +168,6 @@ see {ref}`sec:battery-g2mg` for an alternative.
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220 | 168 | We excluded the `DIM`-sets as they are too easy for most algorithms.
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221 | 169 |
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222 | 170 |
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281 | 171 | | | dataset | *n* | *d* | reference labels | *k* | noise points | *g* |
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282 | 172 | |:---|:----------------|:-------|:------|:-------------------|------:|---------------:|------:|
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283 | 173 | | 1 | **a1** | 3000 | 2 | labels0 | 20 | 0 | 0 |
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@@ -327,30 +217,6 @@ can be accessed, e.g., via the R package
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327 | 217 | [*FCPS*](https://CRAN.R-project.org/package=FCPS);
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328 | 218 | see also {cite}`ThrunUltsch2020:fcps`.
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329 | 219 |
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354 | 220 | | | dataset | *n* | *d* | reference labels | *k* | noise points | *g* |
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355 | 221 | |:---|:----------------|:------|:------|:-------------------|------:|---------------:|------:|
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356 | 222 | | 1 | **atom** | 800 | 3 | labels0 | 2 | 0 | 0 |
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378 | 244 | The dataset consist of 200–1050 observations in 2 dimensions.
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379 | 245 | They came with no reference labels, so we had to create them ourselves.
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380 | 246 |
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421 | 247 | | | dataset | *n* | *d* | reference labels | *k* | noise points | *g* |
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422 | 248 | |:---|:--------------------|:------|:------|:-------------------|------:|---------------:|------:|
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423 | 249 | | 1 | **dense** | 200 | 2 | labels0 | 2 | 0 | 0 |
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474 | 300 | * `square` – a dataset of unknown/unconfirmed origin
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475 | 301 | (🚧 help needed 🚧).
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476 | 302 |
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477 |
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495 | 303 | | | dataset | *n* | *d* | reference labels | *k* | noise points | *g* |
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496 | 304 | |---:|:---------------------|------:|------:|:-------------------|------:|---------------:|------:|
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497 | 305 | | 1 | **chameleon_t4_8k** | 8000 | 2 | labels0 | 6 | 761 | 0.25 |
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@@ -519,24 +327,6 @@ not clustering algorithms. Most clustering algorithms find them
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519 | 327 | problematic; due to their being high-dimensional, it is difficult
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520 | 328 | to verify the sensibleness of the reference labels.
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521 | 329 |
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540 | 330 | | | dataset | *n* | *d* | reference labels | *k* | noise points | *g* |
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541 | 331 | |---:|:---------------|------:|------:|:-------------------|------:|---------------:|------:|
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542 | 332 | | 1 | **ecoli** | 336 | 7 | labels0 | 8 | 0 | 0.65 |
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@@ -569,12 +359,6 @@ This battery features two large, high-dimensional datasets:
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569 | 359 | Both datasets consist of 70,000 flattened 28x28 greyscale images
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570 | 360 | (train and test samples combined).
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571 | 361 |
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578 | 362 | | | dataset | *n* | *d* | reference labels | *k* | noise points | *g* |
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579 | 363 | |---:|:------------|------:|------:|:-------------------|------:|---------------:|------:|
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580 | 364 | | 1 | **digits** | 70000 | 784 | labels0 | 10 | 0 | 0.03 |
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@@ -612,30 +396,6 @@ Gaussian blobs (*k*-means, expectation-maximisation (EM)
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612 | 396 | for Gaussian mixtures) will naturally perform better thereon than
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613 | 397 | the non-parametric approaches.
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614 | 398 |
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639 | 399 | | | dataset | *n* | *d* | reference labels | *k* | noise points | *g* |
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640 | 400 | |:---|:----------------|:------|:------|:-------------------|------:|---------------:|------:|
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641 | 401 | | 1 | **g2mg_1_10** | 2048 | 1 | labels0 | 2 | 0 | 0 |
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@@ -801,30 +561,6 @@ Generator: <https://github.com/gagolews/clustering-data-v1/blob/master/.devel/ge
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801 | 561 | Just like in the case of {ref}`sec:battery-g2mg`, we recommend
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802 | 562 | that these datasets be studied separately from other batteries.
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803 | 563 |
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828 | 564 | | | dataset | *n* | *d* | reference labels | *k* | noise points | *g* |
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829 | 565 | |:---|:----------------|:------|:------|:-------------------|------:|---------------:|------:|
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830 | 566 | | 1 | **h2mg_1_10** | 2048 | 1 | labels0 | 2 | 0 | 0 |
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