Fuzzy Cluster Analysis from the Viewpoint of Robust Statistics
作者： Frank Klawonn , Frank Höppner
DOI: 10.1007/978-3-540-93802-6_21
关键词: Cluster analysis 、 Fuzzy set operations 、 Type-2 fuzzy sets and systems 、 FLAME clustering 、 Theoretical computer science 、 Mathematics 、 CURE data clustering algorithm 、 Fuzzy classification 、 Fuzzy clustering 、 Data mining 、 Fuzzy number
摘要: Fuzzy cluster analysis has been initiated in the beginning of seventies by Bezdek [1], [3] and Dunn [12]. The ideas were partly motivated problems caused binary or crisp assignment data to unique clusters as for instance case popular c-means clustering algorithm. Handling ambiguous noisy order overcome these was one important issue.
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