kmeans_preprocessing: A MVDA Function
In angy89/MVDA_package: Multi-View Biological Data Analysis

This function execute kmeans clustering on single view patient prorotypes. It require library amap.

1 2	kmeans_preprocessing(DB = NULL, nCenters = NULL, iter.max = 100, nstart = 10, method = "pearson")

`DB`	is your matrix dataset
`nCenters`	is the desidered number of cluster
`iter.max`	The maximum number of iterations allowed to Kmeans
`nstart`	If nCenter is a number, how many random sets should be chosen?
`method`	is the method by wich distance is evaluated. Default is pearson.

a list containing three field: pamk.res is the pamk results. clustering is the vector with clustering assignment. center is the matrix with center prototypes.

angy89/MVDA_package documentation built on May 7, 2019, 8:58 p.m.