k-Maxoids Functionality#

Descriptions of the basic functions are given below.

Function descriptions:

Exact K-maxoids clustering

class k_maxoids.KMaxoids(n_clusters=8, distance_metric='euclidean')[source]#

k-maxoids class.

Parameters:

  • n_clusters (integer) – How many maxoids. Must be positive. optional, default: 8

  • distance_metric (string) – What distance metric to use. optional, default: ‘euclidean’

fit(X, y=None)[source]#

Fit K-Maxoids to the provided data.

Parameters:

X (array-like or sparse matrix) – shape=(n_samples, n_features)

Returns:

self