Package: Modalclust 0.7

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.

Authors:Surajit Ray and Yansong Cheng

Modalclust_0.7.tar.gz
Modalclust_0.7.zip(r-4.7)Modalclust_0.7.zip(r-4.6)Modalclust_0.7.zip(r-4.5)
Modalclust_0.7.tgz(r-4.6-any)Modalclust_0.7.tgz(r-4.5-any)
Modalclust_0.7.tar.gz(r-4.7-any)Modalclust_0.7.tar.gz(r-4.6-any)
Modalclust_0.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
Modalclust/json (API)

# Install 'Modalclust' in R:
install.packages('Modalclust', repos = c('https://surajitstat.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • cta20 - Two dimensional data in original and log scale
  • cta20.hmac - Two dimensional data in original and log scale
  • disc2d - Two and three dimensional data representing two half discs
  • disc2d.hmac - Two and three dimensional data representing two half discs
  • disc3d - Two and three dimensional data representing two half discs
  • disc3d.hmac - Two and three dimensional data representing two half discs
  • logcta20 - Two dimensional data in original and log scale
  • logcta20.hmac - Two dimensional data in original and log scale
  • oned - One dimensional data with two main clusters
  • oned.hmac - One dimensional data with two main clusters

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.08 score 12 scripts 169 downloads 1 mentions 14 exports 5 dependencies

Last updated from:65647ef943. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK97
source / vignettesOK208
linux-release-x86_64OK112
macos-release-arm64OK181
macos-oldrel-arm64OK208
windows-develOK77
windows-releaseOK75
windows-oldrelOK73
wasm-releaseOK97

Exports:choose.clustercontour.hmacfindmidhard.hmachmackhatkhat.invmodalclustmydmvnormphmacplot.hmacsdofnormsoft.hmacsummary.hmac

Dependencies:classlatticeMASSmvtnormzoo

Model based clustering via mode identification

Rendered fromModalclust.Rnwusingutils::Sweaveon May 14 2026.

Last update: 2018-11-14
Started: 2014-01-16