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.About:
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.read more
Citations
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Journal ArticleDOI
Customer lifetime value determination based on RFM model
TL;DR: In this article, the authors proposed a new method of customer segmentation and ranking by combining fuzzy clustering (as a segmentation method) and fuzzy AHP(as a ranking method).
Journal ArticleDOI
A Selection Model for Optimal Fuzzy Clustering Algorithm and Number of Clusters Based on Competitive Comprehensive Fuzzy Evaluation
Yaonan Wang,Chunsheng Li,Yi Zuo +2 more
TL;DR: A center initialization approach based on a minimum spanning tree to keep FCM from local minima and a selection model that combines multiple pairs of a fuzzy clustering algorithm and cluster validity index to identify the number of clusters and simultaneously selects the optimal fuzzy clusters for a dataset is proposed.
Posted Content
ELKI: A large open-source library for data analysis - ELKI Release 0.7.5 "Heidelberg".
Erich Schubert,Arthur Zimek +1 more
TL;DR: The motivation for this release, the plans for the future, and a brief overview over the new functionality in this version of ELKI are outlined, which include an appendix presenting an overview on the overall implemented functionality.
Investigation of Internal Validity Measures for K-Means Clustering
Jonathan Baarsch,M. Emre Celebi +1 more
TL;DR: The Sum-of-Squares method was found to be the most effective for predicting an appropriate value for k, and the results suggest that validity measures could be used as explanatory tools in their own right.
Journal ArticleDOI
Discovering residential electricity consumption patterns through smart-meter data mining: A case study from China
TL;DR: Wang et al. as mentioned in this paper explored daily electricity consumption patterns of low-voltage residential users in China and presented a process model for mining daily electricity consumptions data based on the fuzzy c-means (FCM) clustering method and a fuzzy cluster validity index (PBMF).
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
R. A. Johnson,Dean W. Wichern +1 more
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.