akmeans: K-Means Over One Way of An Three-Way Array

In lsbclust: Least-Squares Bilinear Clustering for Three-Way Data

Description

Vectorize matrix slices over a specific way of an three-way array, and conduct kmeans on it.

Usage

akmeans(data, centers, margin = 3L, ndim = NULL, ...)

Arguments

data	Three-way data array
centers	Passed to kmeans
margin	Integer indicating which way to cluster over
ndim	The rank of the low dimensional approximation of the matrix slices to construct before clustering (using svd)
...	Additional arguments passed to kmeans

Examples

set.seed(1)
res <- akmeans(data = carray(dcars), margin = 3L, centers = 5, nstart = 10)

lsbclust documentation built on May 1, 2019, 10:27 p.m.