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Releases: erdogant/clusteval

2.2.5

24 Apr 07:08
5aaded8
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  • Bug fix in copy
  • Added new logger
  • Code refactoring

2.24

13 Feb 15:54
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  • small bugfix

2.2.3

13 Feb 15:15
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  • bug fix for nr. samples

2.2.2

02 Oct 13:07
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  • Updating and refactoring to make the library compatible again with new versions of dependencies.

v2.2.1

25 Apr 20:15
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  • Fix for scatter. Update in input parameters

v2.2.0

19 Apr 20:59
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  • Fixes for tSNE perplexity and title
  • add normalization parameter
  • Various other improvements
  • Docstrings update

v2.1.6

16 Apr 21:46
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  • many fixes and updates
  • wget is replaces by internal functions
  • plots are updated
  • added new plot: ce.plot_silhouette()
  • bugfix for min_samples fixed
  • jitter functionality added
  • logging improved
  • update docstrings

v2.1.5

22 Mar 21:10
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  • fix in case silscore is empty

v2.1.4

02 Dec 15:15
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  • sklearn changed into scikit-learn in both requirements and setup file.

v2.1.3

19 Mar 22:38
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  • Parameter savefig can now be used to store figures in plot, scatter and dendrogram

Example:

from clusteval import clusteval
X, y = make_blobs(n_samples=600, centers=[[1, 1], [-1, -1], [1, -1]], cluster_std=0.4, random_state=0)
ce = clusteval(cluster='agglomerative', evaluate='derivative')
results = ce.fit(X)

ce.plot(savefig={'fname':'clusteval_plot.png'})
ce.scatter(X, dot_size=100, savefig={'fname':'clusteval_scatter.png'})
ce.dendrogram(savefig={'fname':'clusteval_dendrogram.png'})