What Is Fuzzy Logic?

Fuzzy Clustering
Access the online help topics by clicking Info or using the Help menu in
the Clustering GUI.
Loading and Plotting the Data
To load a data set in the GUI, perform either of the following actions:
• Click Load Data, andselectthefile containing the data.
• Open the GUI with a data set directly by invoking findcluster with the
data set as the argument, in the MATLAB Command Window.
Thedatasetmusthavetheextension.dat. For example, to load the data
set, clusterdemo.dat, typefindcluster('clusterdemo.dat').
The Clustering GUI Tool works on multidimensional data sets, but displays
only two of those dimensions on the plot. To select other dimensions in the
data set for plotting, you can use the drop-down lists under X-axis and Y-axis.
Starting the Clustering
To start clustering the data:
1 Choose the clustering function fcm (fuzzy C-Means clustering) or
subtractiv (subtractive clustering) from the drop-down menu under
Methods.
2 Set options for the selected method using the Influence Range, Squash,
Aspect Ratio, andReject Ratio fields.
For more information on these methods and their options, refer to fcm,
and subclust respectively.
3 Begin clustering by clicking Start.
After clustering gets completed, the cluster centers appear in black as
shown in the next figure.
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