kernelized_kmeans: Kernelized k-means

In vittoriofortino84/COPS: Clustering algorithms for Omics-driven Patient Stratification

Kernelized k-means

Description

K-means++ without spectral relaxation.

Usage

kernelized_kmeans(K, n_k, num_init = 100, max_iter = 100, parallel = 1, ...)

Arguments

K	kernel matrix
n_k	number of clusters
num_init	number of initializations
max_iter	maximum number of k-means iterations
parallel	number of parallel threads for running different initializations
...	ignored

Value

list of cluster assignments and k-means objective

vittoriofortino84/COPS documentation built on Jan. 28, 2025, 3:16 p.m.