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Modalclust
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]
[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
Previous versions and publish date:
Other packages that cited Modalclust R package
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Other R packages that Modalclust depends,
imports, suggests or enhances
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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