Hamming {CSclone}

Hamming distance

Description

Hamming is computing the co-occurrence matrix.

Usage

Hamming(k.matrix)

Arguments

k.matrix

is matrix with the result-retaining of MCMC.

Details

Hamming use the result-retaining of MCMC to compute the co-occurrence matrix. And we use the co-occurrence matrix to cluster which the criteria is MPEAR.

Value

Hamming.matrix is the co-occurrence matrix and the idea is Hamming distance.

pro.matrix is the standardization of co-occurrence matrix.

data is data.frame with matrix. The purpose is constructing the heat map.

Author(s)

Peter Wu ([e-mail])