Modalclust: Hierarchical Modal Clustering
Version 0.6

Performs Modal Clustering (MAC) including Hierarchical Modal Clustering (HMAC) along with their parallel implementation (PHMAC) over several processors. These model-based non-parametric clustering techniques can extract clusters in very high dimensions with arbitrary density shapes. By default clustering is performed over several resolutions and the results are summarised as a hierarchical tree. Associated plot functions are also provided. There is a package vignette that provides many examples. This version adheres to CRAN policy of not spanning more than two child processes by default.

AuthorSurajit Ray and Yansong Cheng
Date of publication2014-05-23 18:31:24
MaintainerSurajit Ray <sray@math.bu.edu>
LicenseGPL-2
Version0.6
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("Modalclust")

Popular man pages

cta20: Two dimensional data in original and log scale
HMAC: Perform Modal Clustering in serial mode only
khat.inv: Calculate the smoothing paramters for implementation of Modal...
mydmvnorm: Calculate Density of Multivariate Normal for diagonal...
pHMAC: Main function for performing Modal Clusters either parallel...
plot.hmac: Plots of heierarchical tree for a 'hmac' object
summary.hmac: Summary of HMAC output
See all...

All man pages Function index File listing

Man pages

choose.cluster: Choosing the cluster which is closest to a specified point
contourHMAC: Plot clusters with different colors for two dimensional data...
cta20: Two dimensional data in original and log scale
disc2d: Two and three dimensional data representing two half discs
findmid: Find the mid point of memberships of each cluster
hard.HMAC: Plot clusters with different colors.
HMAC: Perform Modal Clustering in serial mode only
khat.inv: Calculate the smoothing paramters for implementation of Modal...
mydmvnorm: Calculate Density of Multivariate Normal for diagonal...
oned: One dimensional data with two main clusters
pHMAC: Main function for performing Modal Clusters either parallel...
plot.hmac: Plots of heierarchical tree for a 'hmac' object
soft.HMAC: Plot soft clusters from Modal Clustering output
summary.hmac: Summary of HMAC output

Functions

choose.cluster Man page Source code
contour Man page
contour.hmac Man page Source code
cta20 Man page
cta20.hmac Man page
disc2d Man page
disc2d.hmac Man page
disc3d Man page
disc3d.hmac Man page
dmvnorm Man page
findmid Man page Source code
hard.hmac Man page Source code
hmac Man page Source code
khat Man page Source code
khat.inv Man page Source code
logcta20 Man page
logcta20.hmac Man page
modalclust Man page
mydmvnorm Man page Source code
oned Man page
oned.hmac Man page
phmac Man page Source code
plot Man page
plot.hmac Man page Source code
sdofnorm Man page Source code
soft.hmac Man page Source code
summary Man page
summary.hmac Man page Source code

Files

inst
inst/doc
inst/doc/Modalclust.Rnw
inst/doc/Modalclust.R
inst/doc/Modalclust.pdf
NAMESPACE
demo
demo/modalclust.R
demo/00Index
demo/plotmodalclust.R
data
data/disc3d.hmac.rda
data/disc3d.rda
data/logcta20.rda
data/cta20.rda
data/disc2d.hmac.rda
data/oned.hmac.rda
data/oned.rda
data/disc2d.rda
data/cta20.hmac.rda
data/logcta20.hmac.rda
R
R/summary_hmac.r
R/plot.HMAC.R
R/choose.cluster.R
R/contourHMAC.R
R/hmacpack.r
R/soft.HMAC.R
R/hard.HMAC.r
vignettes
vignettes/Modalclust.Rnw
MD5
build
build/vignette.rds
DESCRIPTION
man
man/summary.hmac.Rd
man/disc2d.Rd
man/cta20.Rd
man/oned.Rd
man/contourHMAC.Rd
man/hard.HMAC.Rd
man/pHMAC.Rd
man/soft.HMAC.Rd
man/mydmvnorm.Rd
man/plot.hmac.Rd
man/HMAC.Rd
man/choose.cluster.Rd
man/findmid.Rd
man/khat.inv.Rd
Modalclust documentation built on May 19, 2017, 4:38 p.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

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