Clamix implements two clustering methods for symbolic objects: the adapted leaders method and the adapted agglomerative hierarchical clustering method. Both methods are compatible - they can be viewed as two approaches for solving the same clustering optimization problem. In the obtained clustering to each cluster is assigned its leader. The descriptions of the leaders offer simple interpretation of the clusters characteristics. The leaders method enables us to efficiently solve clustering problems with large number of units; while the agglomerative method is applied on the obtained leaders and enables us to decide upon the right number of clusters on the basis of the corresponding dendrogram.
|Author||Vladimir Batagelj, Natasa Kejzar|
|Date of publication||2016-10-19 13:08:37|
|Maintainer||Natasa Kejzar <firstname.lastname@example.org>, Vladimir Batagelj <email@example.com>|
|Package repository||View on R-Forge|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.