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perseus:user:activities:matrixprocessing:clustering:genericclusteringproc

Generic clustering

General

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 pop-up window: Clustering -> Generic clustering

perseus/user/activities/matrixprocessing/clustering/genericclusteringproc.txt · Last modified: 2015/12/09 16:42 by temu