Efficient Clustering Method Based on Rough Set and Genetic Algorithm
Jianyong Chen,Changsheng Zhang +1 more
TLDR
An efficient clustering method based on rough set theory and genetic algorithm is provided and the experimental results show that the proposed algorithm has the ability to adjust the results and obtain the higher accuracy rate.About:
This article is published in Procedia Engineering.The article was published on 2011-01-01 and is currently open access. It has received 12 citations till now. The article focuses on the topics: Correlation clustering & Canopy clustering algorithm.read more
Citations
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Journal ArticleDOI
Integrated Rough Fuzzy Clustering for Categorical data Analysis
TL;DR: An integrated clustering technique using multi-phase learning is proposed called Integrated Rough Fuzzy Clustering using Random Forest, where, results of three aforementioned clustering techniques are used to compute the roughness measure.
Journal ArticleDOI
Informational Paradigm, management of uncertainty and theoretical formalisms in the clustering framework
TL;DR: It is shown how all these clustering approaches are able of managing in different ways the uncertainty associated with the two components of the Informational Paradigm, i.e. the Empirical and Theoretical Information.
Journal ArticleDOI
Differentiation of Lard from Other Edible Fats by Gas Chromatography-Flame Ionisation Detector (GC-FID) and Chemometrics
TL;DR: In this article, the use of gas chromatography with flame ionisation detector (GC-FID) coupled with chemometrics techniques such as Principle Components Analysis (PCA) and K-mean cluster analysis to differentiate lard adulteration at very low concentrations in beef and chicken fats.
Posted Content
Informational Paradigm, Management of Uncertainty and Theoretical Formalisms in the Clustering Framework: a Review
TL;DR: The first paper on clustering based on fuzzy sets theory was published in 1965 as mentioned in this paper, where L.A. Zadeh had published "Fuzzy Sets" and it has been 50 years since then.
Book ChapterDOI
Cohort Intelligence and Genetic Algorithm Along with AHP to Recommend an Ice Cream to a Diabetic Patient
TL;DR: The set of equations for GA, CI with respect to AHP will not only verify the previous obtained results for AHP but also shows improvement in results to recommend an ice cream to a diabetic patient.
References
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Book
Data Mining: Concepts and Techniques
TL;DR: This book presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects, and provides a comprehensive, practical look at the concepts and techniques you need to get the most out of real business data.
Journal ArticleDOI
Rough set theory and its applications to data analysis
TL;DR: The lower and upper approximation of a set, the basic operations of the theory, are intuitively explained and formally defined.
Journal ArticleDOI
Interval Set Clustering of Web Users with Rough K -Means
Pawan Lingras,Chad West +1 more
TL;DR: A variation of the K-means clustering algorithm based on properties of rough sets is proposed, which represents clusters as interval or rough sets.
Journal ArticleDOI
Techniques of Cluster Algorithms in Data Mining
TL;DR: An overview of cluster analysis techniques from a data mining point of view is given, with a strict separation of the questions of various similarity and distance measures and related optimization criteria for clusterings from the methods to create and modify clusterings themselves.