mvc (version 1.3)

conceptIndicesSkm: Calculate partitions (concept indices) by assigning each vector to the closest concept vector.

Description

Calculate partitions (concept indices) by assigning each vector to the closest concept vector.

Usage

conceptIndicesSkm(X, C, doOutput=F)

Arguments

X

data matrix (row-wise in unit length).

C

matrix with k rows, indicating concept vectors (row-wise in unit length).

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