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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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Install
install.packages('Modalclust')
Monthly Downloads
193
Version
0.1
License
GPL-2
Maintainer
Surajit Ray
Last Published
November 13th, 2010
Functions in Modalclust (0.1)
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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