Fuzzy Clustering
978-613-3-23597-7
6133235977
88
2010-10-04
34.00 €
eng
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Fuzzy clustering is a class of algorithm for cluster analysis in which the allocation of data points to clusters is not "hard" (all-or-nothing) but "fuzzy" in the same sense as fuzzy logic.Data clustering is the process of dividing data elements into classes or clusters so that items in the same class are as similar as possible, and items in different classes are as dissimilar as possible. Depending on the nature of the data and the purpose for which clustering is being used, different measures of similarity may be used to place items into classes, where the similarity measure controls how the clusters are formed. Some examples of measures that can be used as in clustering include distance, connectivity, and intensity.
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