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Pattern Recognition with Fuzzy Objective Function Algorithms
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Citations
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Journal ArticleDOI
Rough Set Based Generalized Fuzzy $C$ -Means Algorithm and Quantitative Indices
Pradipta Maji,Sankar K. Pal +1 more
TL;DR: The RFPCM comprises a judicious integration of the principles of rough and fuzzy sets that incorporates both probabilistic and possibilistic memberships simultaneously to avoid the problems of noise sensitivity of fuzzy C-means and the coincident clusters of PCM.
Journal ArticleDOI
The application of ANFIS prediction models for thermal error compensation on CNC machine tools
TL;DR: This paper first reviews different methods of designing thermal error models, before concentrating on employing an adaptive neuro fuzzy inference system (ANFIS) to design two thermal prediction models that show that the ANFIS-FCM model is superior in terms of the accuracy of its predictive ability with the benefit of fewer rules.
Journal ArticleDOI
Linguistic summarization of video for fall detection using voxel person and fuzzy logic
TL;DR: A method for recognizing human activity from linguistic summarizations of temporal fuzzy inference curves representing the states of a three-dimensional object called voxel person and a two level model for fall detection is presented.
Journal ArticleDOI
Unsupervised classification of polarimetric synthetic aperture Radar images using fuzzy clustering and EM clustering
TL;DR: Five clustering techniques are compared by classifying a polarimetric synthetic aperture radar image, and the results support the conclusion that the pixel model is more important than the clustering mechanism.
Journal ArticleDOI
On cluster validity index for estimation of the optimal number of fuzzy clusters
TL;DR: A new cluster validity index is proposed that determines the optimal partition and optimal number of clusters for fuzzy partitions obtained from the fuzzy c-means algorithm using an overlap measure and a separation measure between clusters.
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.