Releases: erdogant/clusteval
Releases · erdogant/clusteval
v2.2.1
- Fix for
scatter
. Update in input parameters
v2.2.0
- Fixes for tSNE perplexity and title
- add normalization parameter
- Various other improvements
- Docstrings update
v2.1.6
- 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
- fix in case silscore is empty
v2.1.4
sklearn
changed into scikit-learn
in both requirements and setup file.
v2.1.3
- 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'})
2.1.1
- Input parameter "method" is changed into "evaluate"
- Added docstrings
- Some code refactoring and cleaning
2.1.0
- improved default parameters for dbscan to detect clusters of various densities
2.0.5
- bug fix in the special case when no clusters are possible to detect