Different approaches to fuzzy clustering of incomplete datasets

DOI10.1016/j.ijar.2003.08.004zbMath1068.68140OpenAlexW1974478365MaRDI QIDQ1881164

Christian Döring, Heiko Timm, Rudolf Kruse

Publication date: 4 October 2004

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2003.08.004

zbMATH Keywords

data analysisGath and Geva algorithm

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (3)

A three-way clustering approach for handling missing data using GTRS ⋮ Fuzzy c-Means Clustering of Incomplete Data Using Dimension-Wise Fuzzy Variances of Clusters ⋮ Fuzzy lattice reasoning (FLR) classifier and its application for ambient ozone estimation

Cites Work

• Fuzzy clustering for the estimation of the parameters of the components of mixtures of normal distributions
• New Fast Algorithms for Error Rate-Based Stepwise Variable Selection in Discriminant Analysis
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