NNSOM.utils.count_classes_in_cluster

NNSOM.utils.count_classes_in_cluster(cat_feature, clust)[source]

Count occurrences of each class in every cluster.

Parameters:

  • cat_feature (array-like, shape (N,)) – Categorical feature values for all data points.

  • clust (list of array-like) – A list of cluster index arrays.

Returns:

cluster_counts – Entry [i, j] is the count of class j in cluster i.

Return type:

np.ndarray of int, shape (numNeurons, numClasses)