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- feature_ranking(W)
- This function computes MCFS score and ranking features according to feature weights matrix W
- mcfs(X, n_selected_features, **kwargs)
- This function implements unsupervised feature selection for multi-cluster data.
Input
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X: {numpy array}, shape (n_samples, n_features)
input data
n_selected_features: {int}
number of features to select
kwargs: {dictionary}
W: {sparse matrix}, shape (n_samples, n_samples)
affinity matrix
n_clusters: {int}
number of clusters (default is 5)
Output
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W: {numpy array}, shape(n_features, n_clusters)
feature weight matrix
Reference
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Cai, Deng et al. "Unsupervised Feature Selection for Multi-Cluster Data." KDD 2010.
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