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Pattern Recognition with Fuzzy Objective Function Algorithms
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Citations
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A cluster validity index for fuzzy clustering
Kuo-Lung Wu,Miin-Shen Yang +1 more
TL;DR: The results of comparative study show that the proposed PCAES index has high ability in producing a good cluster number estimate and in addition, it provides a new point of view for cluster validity in a noisy environment.
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Bat Diversity and Abundance as Indicators of Disturbance in Neotropical Rainforests
TL;DR: Evaluating bat populations may be a good first step in assessing an area's conservation value, especially in rainforest regions, because bats are abundant, diverse, and easy to sample and they fulfill several of the requirements of indicator species.
Journal ArticleDOI
A new approach to fuzzy modeling
TL;DR: This paper proposes a new approach to fuzzy modeling that can express a given unknown system with a few fuzzy rules as well as Takagi and Sugeno's model (1985) because it has the same structure as that of Takagi & Sugeno (1985), because its identification mimics the simple identification procedure of Sugeno and Yasukawa's model.
Journal ArticleDOI
Global analysis of patterns of gene expression during Drosophila embryogenesis.
Pavel Tomancak,Pavel Tomancak,Pavel Tomancak,Benjamin P. Berman,Benjamin P. Berman,Amy Beaton,Amy Beaton,Richard Weiszmann,Elaine Kwan,Elaine Kwan,Volker Hartenstein,Susan E. Celniker,Gerald M. Rubin,Gerald M. Rubin,Gerald M. Rubin +14 more
TL;DR: Nearly 60% of the genes with detectable expression exhibit broad patterns reflecting quantitative rather than qualitative differences between tissues, and the expression patterns of over 1,500 of these genes are documented here for the first time.
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Fuzzy c-means clustering of incomplete data
TL;DR: Four strategies for doing FCM clustering of incomplete data sets are given, three of which involve modified versions of the FCM algorithm and numerical convergence properties of the new algorithms are discussed.
References
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Journal ArticleDOI
Nearest neighbor pattern classification
Thomas M. Cover,Peter E. Hart +1 more
TL;DR: The nearest neighbor decision rule assigns to an unclassified sample point the classification of the nearest of a set of previously classified points, so it may be said that half the classification information in an infinite sample set is contained in the nearest neighbor.
Book
Introduction to Statistical Pattern Recognition
TL;DR: This completely revised second edition presents an introduction to statistical pattern recognition, which is appropriate as a text for introductory courses in pattern recognition and as a reference book for workers in the field.
A fuzzy relative of the isodata process and its use in detecting compact well-separated clusters
TL;DR: In this paper, two fuzzy versions of the k-means optimal, least squared error partitioning problem are formulated for finite subsets X of a general inner product space, and the extremizing solutions are shown to be fixed points of a certain operator T on the class of fuzzy, k-partitions of X, and simple iteration of T provides an algorithm which has the descent property relative to the LSE criterion function.