KMEANS_Euc: KMEANS_Euc function

In llrebecca21/ClusterPack: Contains K-Nearest Neighbors algorithm, K-Means algorithm, and various distance functions

KMEANS_Euc function

Description

KMEANS_Euc function

Usage

KMEANS_Euc(X, K, M = NULL, numIter = 100)

Arguments

X	An n x p matrix of data points
K	Number of clusters given as an integer
M	Initial K x p matrix of cluster centers
numIter	maximal number of iterations for the algorithm

Value

Returns a vector of length n of cluster assignments

Examples

X = matrix(c(1,  2,  3,
             0,  1,  2,
             9, 10, 11,
            10, 11, 12),
           nrow = 4,
           ncol = 3,
           byrow = TRUE)
K = 2
KMEANS_Euc(X=X,K=K,M=NULL,numIter = 100)
## returns a column matrix: [0, 0, 1, 1]' or [1, 1, 0, 0]'

llrebecca21/ClusterPack documentation built on April 15, 2022, 4:37 a.m.