Clusteval provides methods for unsupervised cluster validation
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scatter
. Update in input parametersPublished by erdogant over 1 year ago
Published by erdogant over 1 year ago
ce.plot_silhouette()
Published by erdogant over 1 year ago
Published by erdogant almost 2 years ago
sklearn
changed into scikit-learn
in both requirements and setup file.Published by erdogant over 2 years ago
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'})
Published by erdogant almost 3 years ago
Published by erdogant almost 3 years ago
Published by erdogant almost 3 years ago
Published by erdogant almost 3 years ago
Published by erdogant about 3 years ago
Published by erdogant about 3 years ago
Published by erdogant over 3 years ago
Published by erdogant over 3 years ago
Published by erdogant about 4 years ago
Huge structural update.
The input parameter "method" can only be used for the evaluation of methods, such as silhouette, dbindex and derivative. The clustering approach can separately be chosen using the input parameter "cluster", which can be: agglomerative, kmeans, dbscan, hdbscan.
Published by erdogant about 4 years ago
Published by erdogant over 4 years ago
Published by erdogant over 4 years ago
Huge and happy update in clusteval
Have fun!
Published by erdogant over 4 years ago
Published by erdogant almost 5 years ago