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flexclust  

Flexible Cluster Algorithms
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("flexclust", "1.4-2")



Attach the package and use:
library("flexclust")
Maintained by
Bettina Grün
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2005-06-09
Latest Update: 2022-04-08
Description:
The main function kcca implements a general framework for k-centroids cluster analysis supporting arbitrary distance measures and centroid computation. Further cluster methods include hard competitive learning, neural gas, and QT clustering. There are numerous visualization methods for cluster results (neighborhood graphs, convex cluster hulls, barcharts of centroids, ...), and bootstrap methods for the analysis of cluster stability.
How to cite:
Bettina Grün (2005). flexclust: Flexible Cluster Algorithms. R package version 1.4-2, https://cran.r-project.org/web/packages/flexclust. Accessed 29 Jan. 2025.
Previous versions and publish date:
0.7-0 (2005-06-09 16:36), 0.8-0 (2005-11-23 15:32), 0.8-1 (2006-01-11 14:12), 0.9-0 (2007-01-20 14:02), 0.9-1 (2007-05-03 19:22), 0.99-0 (2008-05-09 11:31), 0.99-1 (2008-11-03 18:31), 1.0-0 (2008-12-12 16:36), 1.1-0 (2009-02-02 17:28), 1.1-1 (2009-02-19 06:15), 1.1-2 (2009-02-23 01:36), 1.2-0 (2009-06-19 14:52), 1.2-1 (2009-07-02 11:02), 1.2-2 (2009-11-06 16:53), 1.3-0 (2010-11-23 10:14), 1.3-1 (2010-11-24 15:33), 1.3-2 (2011-08-11 15:16), 1.3-3 (2012-07-10 13:51), 1.3-4 (2013-07-02 12:32), 1.3-5 (2018-02-14 14:38), 1.4-0 (2018-09-25 00:50), 1.4-1 (2022-04-08 13:30)
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