Visual Inspection of Fuzzy Clustering Results
Clustering is an explorative data analysis method applied to data in order to discover structures or certain groupings in a data set. Therefore, clustering can be seen as an unsupervised classification technique. Fuzzy clustering accepts the fact that the clusters or classes in the data are usually not completely well separated and thus assigns a membership degree between 0 and 1 for each cluster to every datum.
KeywordsCluster Centre Fuzzy Cluster Membership Degree Fuzzy Partition Fuzzy Cluster Technique
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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