kmeans_sv: 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_sv(nCenters, prototype, method = "pearson", corr.use = "pairwise.complete.obs", iter.max = 10000, nstart = 10)

`nCenters`	is the number of cluster we want to obtain
`prototype`	is the matrix of prototype we want to cluster
`method`	is the method by wich distance is evaluated. Default is pearson.
`corr.use`	is an optional character string giving a method for computing covariances in the presence of missing values. This must be (an abbreviation of) one of the strings "everything", "all.obs", "complete.obs", "na.or.complete", or "pairwise.complete.obs". Default value="pairwise.complete.obs"
`iter.max`	The maximum number of iterations allowed to Kmeans
`nstart`	If nCenter is a number, how many random sets should be chosen?

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.