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Modalclust  

Hierarchical Modal Clustering
View on CRAN: Click here


Download and install Modalclust package within the R console
Install from CRAN:
install.packages("Modalclust")

Install from Github:
library("remotes")
install_github("cran/Modalclust")

Install by package version:
library("remotes")
install_version("Modalclust", "0.7")



Attach the package and use:
library("Modalclust")
Maintained by
Surajit Ray
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-11-13
Latest Update: 2018-11-14
Description:
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.
How to cite:
Surajit Ray (2010). Modalclust: Hierarchical Modal Clustering. R package version 0.7, https://cran.r-project.org/web/packages/Modalclust. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1 (2010-11-13 16:18), 0.2 (2012-01-15 12:33), 0.3 (2012-05-02 08:19), 0.4 (2013-06-25 16:13), 0.5 (2014-01-18 01:01), 0.6 (2014-05-23 18:31)
Other packages that cited Modalclust R package
View Modalclust citation profile
Other R packages that Modalclust depends, imports, suggests or enhances
Complete documentation for Modalclust
Functions, R codes and Examples using the Modalclust R package
Some associated functions: HMAC . choose.cluster . contourHMAC . cta20 . disc2d . findmid . hard.HMAC . khat.inv . mydmvnorm . oned . pHMAC . plot.hmac . soft.HMAC . summary.hmac . 
Some associated R codes: choose.cluster.R . contourHMAC.R . plot.HMAC.R . soft.HMAC.R .  Full Modalclust package functions and examples
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