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Pattern Recognition with Fuzzy Objective Function Algorithms
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Citations
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Journal ArticleDOI
Active semi-supervised fuzzy clustering
TL;DR: The comparisons performed on a simple benchmark and on a ground truth image database show that with AFCC the results of clustering can be significantly improved with few constraints, making this semi-supervised approach an attractive alternative in the categorization of image databases.
Journal ArticleDOI
Autocorrelation-based fuzzy clustering of time series
TL;DR: This paper proposes a fuzzy clustering approach based on the autocorrelation functions of time series, in which each time series is not assigned exclusively to only one cluster, but it is allowed to belong to different clusters with various membership degrees.
Journal ArticleDOI
On the conservativeness of fuzzy and fuzzy-polynomial control of nonlinear systems
TL;DR: Some of the sources of conservativeness of fuzzy control designs based on the linear vertex models instead of the original nonlinear equations are reviewed and ideas that may overcome some of the Conservativeness issues (but increasing computational requirements) are discussed.
Journal ArticleDOI
Application of fuzzy c-means segmentation technique for tissue differentiation in MR images of a hemorrhagic glioblastoma multiforme.
W.E. Phillips,R.P. Velthuizen,S. Phuphanich,Lawrence O. Hall,Laurence P. Clarke,Martin L. Silbiger +5 more
TL;DR: Based on the results of neuropathologic correlation, the application of FCM MR image segmentation to several MR images of a glioblastoma multiforme represents a viable technique for displaying diagnostically relevant tissue contrast information used in 3D volume reconstruction.
Book ChapterDOI
Modeling and multiway analysis of chatroom tensors
TL;DR: In this paper, the authors identify the limitations of n-way data analysis techniques in multidimensional stream data, such as Internet chatroom communications data, and establish a link between data collection and performance of these techniques.
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.