conceptVectorsSkm: Calculate concept vectors for Spherical k-Means as unit...
In mvc: Multi-View Clustering

Description Usage Arguments Value Examples

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

1	conceptVectorsSkm(X, CIdx, doOutput=F)

`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

concept vectors as matrix (row-wise in unit length).

{
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))
}