Fuzzy measures in determining seed points in clustering
نویسندگان
چکیده
Abslract: Algorithms for aUlOmatlc selection of seed points for clustering are deScribed using Ihe lerms 'lIH.lex of fllz~iness·. 'entropy' and' n·ness' of a fllny set. Two memhershlp funnions III IR" have been defilled sHch thai Ihe fU/zy measures posses maximum values when the CIOSS over points/eentral pomts of the membership functions correspond to Ihe points around which Ihe data has a tendency 10 cluster. The effeellveness of the algorithm IS demonstrated all a set of speech data.
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عنوان ژورنال:
- Pattern Recognition Letters
دوره 4 شماره
صفحات -
تاریخ انتشار 1986