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Journal ArticleDOI

Validity index for crisp and fuzzy clusters

TLDR
A cluster validity index and its fuzzification is described, which can provide a measure of goodness of clustering on different partitions of a data set, and results demonstrating the superiority of the PBM-index in appropriately determining the number of clusters are provided.
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This article is published in Pattern Recognition.The article was published on 2004-03-01. It has received 710 citations till now. The article focuses on the topics: Fuzzy clustering & Correlation clustering.

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Citations
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Journal ArticleDOI

A novel technique for fast determination of K in partitioning cluster analysis

TL;DR: The KPEAKS is proposed, a simple and fast technique based on the descriptive statistics of peak counts of the features for clustering multidimensional datasets that can be successfully used for determining k, the number of clusters to start all of the probabilistic and possibilistic partitioning algorithms.
Journal ArticleDOI

Sampling and clustering algorithm for determining the number of clusters based on the rosette pattern

TL;DR: An algorithm for clustering the pixels in C -scan images without any initializing parameters is proposed and the results show that the algorithm improves the clustering capability and the efficiency of the algorithm in terms of cluster detection and run time improves considerably.

Coalesce GeneRegulatory NetworkReconstruction: A Cross-Platform Transcriptional GeneNetworkFusion Framework

TL;DR: Coalesce GRN (CGRN) is presented, whichintegrates cross-platform GRN to removeplatform and experimental bias using Dempster Shafer theory of evidence and proposed modelmimics inherent fuzzynature ofgenecoregulation by using fuzzylogic andautomatically determines model parameters.
Journal ArticleDOI

Optimized classification approach to modeling an expert system for selecting stock portfolio

TL;DR: Results of this study showed that this expert system yields a higher rate of return than those of several existing portfolio selection systems.
Book ChapterDOI

Fast Estimation for the Number of Clusters

TL;DR: In this article, a fast estimation solution based on the cluster centers selected in a static way is proposed to handle the accuracy problem of clustering analysis on overlapping data sets, where each data point is assigned with one score calculated according to a density-distance model.
References
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Book

Genetic algorithms in search, optimization, and machine learning

TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.

Genetic algorithms in search, optimization and machine learning

TL;DR: This book brings together the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.
Book

Applied Multivariate Statistical Analysis

TL;DR: In this article, the authors present an overview of the basic concepts of multivariate analysis, including matrix algebra and random vectors, as well as a strategy for analyzing multivariate models.
Journal ArticleDOI

Applied Multivariate Statistical Analysis.

TL;DR: In this article, the authors present an overview of the basic concepts of multivariate analysis, including matrix algebra and random vectors, as well as a strategy for analyzing multivariate models.