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findcluster

Open Clustering tool

Syntax

findcluster findcluster('file.dat') 

Description

findcluster opens a GUI to implement either the fuzzy c-means (fcm), the fuzzy subtractive clustering (subtractiv) using the pull-down tab under Method on the GUI, or both. Data is entered using the Load Data button. The options for each of these methods are set to default values. These default values can be changed. See fcm reference page for a description of the options for fuzzy c-means. The subclust reference page provides a description of the options for fuzzy subclustering.

This tool works on multidimensional data sets, but only displays two of those dimensions. Use the pull-down tabs under X-axis and Y-axis to select which data dimension you want to view. For example, if you have data that is five-dimensional, this tool labels the data as data_1, data_2, data_3, data_4, data_5, in the order in which the data appears in the data set. Start to perform the clustering, and Save Center to save the cluster center.

When operating on a data set called file.dat, findcluster (file.dat) loads the data set automatically, plotting up to the first two dimensions of the data only. You can still choose which two dimensions of the data you want to cluster after the GUI appears.

Examples

findcluster('clusterdemo.dat')

See Also

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