fuzzy clustering
Fast Fuzzy Clustering of Web Page Collections
... c-means, fuzzy clustering and learning vector quantization methods with and without cluster centers normalized to unit length, with and without variances ...
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An Overview of Semi-Supervised Fuzzy Clustering Algorithms
... There are several additional information in SSFC. The first one is the must-link and cannot-link constraints [11]. The former requires that two elements must be in the same cluster. On the contrary, the latter shows that ...
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Some Improvements of Fuzzy Clustering Algorithms Using Picture Fuzzy Sets and Applications For Geographic Data Clustering
... distributed fuzzy clustering algorithm to handle large data sets using picture fuzzy sets called DPFCM has improved overall clustering quality in comparison with the algorithm of Chen and ...
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Images Fusion Based On Fuzzy Clustering
... novel fuzzy clustering ...reformulated fuzzy local-information C-means clustering algorithm is proposed for classifying changed and unchanged regions in the fused difference ...novel ...
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Neural Network Regressions with Fuzzy Clustering
... unsupervised fuzzy clustering is proposed for clustering nonparametric regression models for ...the fuzzy clustering weightings can be introduced in these network models; (ii) the ...
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Fuzzy Clustering for TV Program Classification
... on fuzzy clustering is proposed for program classification in this ...on fuzzy clustering is ...building fuzzy similarity matrix, and then clustering. The final fuzzy ...
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IMAGE SEGMENTATION USING FUZZY CLUSTERING ALGORITHM
... hard clustering, data is divided into crisp clusters, where each data point belongs to exactly one ...cluster. Fuzzy clustering algorithm compares the intensity in a relative way and groups them into ...
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Mining Extremes through Fuzzy Clustering
... validation fuzzy clustering indices, to evaluate the quality of the found fuzzy partitions, regarding the number of clusters, with real ...the clustering results, exploring the Furthest Sum ...
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Application of Fuzzy Clustering Methodology for Garment Sizing
... The fuzzy clustering may be regarded as a suggestive approach which describes subjectivity in customer size preferences at different ...the fuzzy-based size chart may be used for translating ...
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Automated fuzzy-clustering for Doctus expert system
... As fuzzy logic handles the “paradox of the pile of sand” [11] it offers itself to be an adequate ...the fuzzy clustering is not new at ...The fuzzy clustering algorithms matured and now ...
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Fuzzy clustering: insights and a new approach
... probabilistic fuzzy (in- cluding noise) ...probabilistic clustering has a smoothing effect on undesired local minima of the objective function as we have illustrated in section ...in fuzzy ...
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DATA CLASSIFICATION USING MODIFIED FUZZY CLUSTERING
... Fuzzy Clustering plays a vital role in clustering the real world data where a data item relates to more than one ...the fuzzy logic based algorithms are always suitable for performing soft ...
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A new fuzzy set merging technique using inclusion based fuzzy clustering
... inclusion-based fuzzy clus- tering algorithm from Section II-B, we can now sketch the fuzzy modeling and simplification approach based on the proposed merging ...initial fuzzy model is generated by ...
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Dental Image Segmentation Based on the combination between Fuzzy Clustering and Semi Supervised Fuzzy Clustering Algorithms Using Spatial Information
... between fuzzy clustering (FCM) algorithm and semi-supervised fuzzy clustering with the spatial information used as additional ...semi-supervised fuzzy clustering algorithm (given ...
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Fuzzy clustering with volume prototypes and adaptive cluster merging
... When (4) is minimized by iterating between (6) and (8), the volume prototypes extend a distance from the cluster centers and the points within the volume prototypes are assigned a membership of one in the corresponding ...
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A new fuzzy set merging technique using inclusion-based fuzzy clustering
... the fuzzy set theory, its application to classification has produced very appealing outcomes, both from the theoretical perspective as testified by the exponential growth of literature in fuzzy ...
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Simulated Annealing Fuzzy Clustering in Cancer Diagnosis
... Recently, Bandyopadhyay proposed a Variable String Length Simulated Annealing (VFC-SA) algorithm [11]. It has the advantage that, by using simulated annealing, the algorithm can escape local optima and, therefore, may be ...
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A New Fuzzy Clustering by Outliers
... both clustering and outlier detection is highly desired. Some fuzzy clustering algorithms have been proposed to partition data sets containing ...robust fuzzy C-Means (robust-FCM) (Dave, ...
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Extended Fuzzy Clustering Algorithms
... Abstract Fuzzy clustering is a widely applied method for obtaining fuzzy models from ...of fuzzy clustering ...based fuzzy clustering for dealing with these ...during ...
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A Fuzzy Clustering Approach to Filter Spam E-Mail
... the fuzzy clustering algorithm (Fuzzy C-Means) to build a spam ...the Fuzzy has been tested on different data set sizes collected from Spam assassin corpora by real user’s ...testing ...
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