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Modalclust (version 0.1)

Hierarchical Modal Clustering

Description

Finding Modal Clusters in a Hierarchical fashion. This clusters are extremely flexible in shape and are computationally fast even in highe dimensions.

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Version

Install

install.packages('Modalclust')

Monthly Downloads

169

Version

0.1

License

GPL-2

Maintainer

Surajit Ray

Last Published

November 13th, 2010

Functions in Modalclust (0.1)

findmid

Find the mid point of memberships of each cluster

mydmvnorm

Calculate Density of Multivariate Normal for diagonal covariance

contour.hmac

Plot clusters with different colors for two dimensional data overlayed on the contours of the original data.

soft.hmac

Plot soft clusters from Modal Clustering output

cta20

Two dimensional data in original and log scale

khat.inv

Calculate the smoothing paramters for implementation of Modal Clustering.

phmac

Main function for performing Modal Clusters either parallel or serial mode.

choose.cluster

Choosing the cluster which is closest to a specified point

hmac

Perform Modal Clustering in serial mode only

summary

Summary of HMAC output

oned

One dimensional data with two main clusters

hard.hmac

Plot clusters with different colors.

plot.hmac

Plots of heierarchical tree for a 'hmac' object

disc2d

Two and three dimensional data representing two half discs