mvc (version 1.3)

conceptVectorsSkm: Calculate concept vectors for Spherical k-Means as unit length sum of vectors of the k clusters.

Description

Calculate concept vectors for Spherical k-Means as unit length sum of vectors of the k clusters.

Usage

conceptVectorsSkm(X, CIdx, doOutput=F)

Arguments

X

data matrix (row-wise in unit length).

CIdx

vector of length NROW(X) with natural numbers 1..k, indicating cluster for each data vector.

doOutput

whether progress bar indicators should be output

Value

Examples

X=structure(c(1, 1, -1, 0, 1, 0, -1, -1), .Dim = c(4L, 2L))
CIdx=c(1, 1, 2, 2)
C=conceptVectorsSkm(X,CIdx)
dput(C) 
# structure(c(0.894427190999916, -0.447213595499958, 
# 0.447213595499958, -0.894427190999916), .Dim = c(2L, 2L))
}