myKmean: K-means clustering

In mattmail/clusterAnalysis: Several tools for determining the number of clusters in a dataset

Description

This function is a wrapper to kmeans in the package stats.

Usage

myKmean(X, k)

Arguments

X	data matrix or data frame of size n x d, n observations and d features
k	number of clusters

Value

list of 3 components:

cluster

vector of integer between 1 and k containing the allocation of each point

centers

matrix (d x k) of the centers of each cluster

predict

function predicting to which cluster an observation belongs. The input can be a single observation vector or a matrix of several observations. The assigned cluster is the one with the closest center to the given observation.

mattmail/clusterAnalysis documentation built on Nov. 4, 2019, 6:18 p.m.