Modalclust: Hierarchical Modal Clustering

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.

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

View on CRAN

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

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

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.