assign_clustpp: Function for assigning clusters to rows in a matrix

In kpodclustr: Method for Clustering Partially Observed Data

Description

assign_clustpp Function for assigning clusters to rows in a matrix

Usage

assign_clustpp(X, init_centers, kmpp_flag = TRUE, max_iter = 20)

Arguments

X	Data matrix containing missing entries whose rows are observations and columns are features
init_centers	Centers for initializing k-means
kmpp_flag	(Optional) Indicator for whether or not to initialize with k-means++
max_iter	(Optional) Maximum number of iterations

Author(s)

Jocelyn T. Chi

Examples

p <- 2
n <- 100
k <- 3
sigma <- 0.25
missing <- 0.05
Data <- makeData(p,n,k,sigma,missing)
X <- Data$Missing
Orig <- Data$Orig

clusts <- assign_clustpp(Orig, k)

kpodclustr documentation built on July 8, 2020, 5:43 p.m.