findcluster - Interactive clustering GUI for fuzzy c-means and subclustering
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
fcm, subclust
 | fcm | | fuzarith |  |
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