myHierarchicalClustering: Hierarchical clustering

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

Description

This function performs hierarchical clustering in either average, complete or single linkage.

Usage

myHierarchicalClustering(X, k, distance = "euclidean",
  linkage = "average")

Arguments

X	data matrix or data frame of size n x d, n observations and d features
k	number of clusters
distance	character for the type of distance. Default is "euclidean"
linkage	"single", "average" or "complete"

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 prediciton is done with the k-nearest neighbours function.

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