Titlebook: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing; 14th International C Davide Ciucci,Masahiro Inuiguchi,Guoyin Wang Conference p

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Patrick G. Clark,Jerzy W. Grzymała-Busse [29] in Chapter 8. We brie?y discuss one simulation from the thesis of Dr. Mark Girolami [58] in Chapter 6 but do not discuss any of the rest of his thesis since it has already appeared in book form [59]. We a978-1-84996-945-1978-1-84628-118-1Series ISSN 1610-3947 Series E-ISSN 2197-8441

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Enhancing Rough Clustering with Outlier Detection Based on Evidential Clusteringans algorithm is augmented with an ability to determine outliers in datasets using the concepts from the Evidential c-means algorithm. Different experiments are carried on various datasets and it is found that the modified rough K-means can effectively detect outliers with relatively smaller computational complexity.

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Conference proceedings 2013d selected from 106 submissions. The papers in this volume cover topics such as inconsistency, incompleteness, non-determinism; fuzzy and rough hybridization; granular computing and covering-based rough sets; soft clustering; image and medical data analysis..

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人充满活力