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perseus:user:activities:matrixprocessing:clustering:genericclusteringproc
Table of Contents
Generic clustering
General
- Type: Matrix Processing
- Heading: Clustering
- Source code: not public
Brief description
Collection of cluster algorithms without graphical output.
Parameters
Method
Selected method that should be applied to cluster the data (default: K-means). The result will be displayed in newly generated categorical column named “Clusters”.
Number of clusters
Defines the number of clusters the data should be clustered into (default: 10).
Parameter window
perseus/user/activities/matrixprocessing/clustering/genericclusteringproc.txt · Last modified: 2015/12/09 16:42 by temu
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