An efficient optimization method for solving unsupervised data classification problems

DOI10.1155/2015/802754zbMath1343.62038DBLPjournals/cmmm/ShabanzadehY15OpenAlexW1511935797WikidataQ30991403 ScholiaQ30991403MaRDI QIDQ304699

Rubiyah Yusof, Parvaneh Shabanzadeh

Publication date: 26 August 2016

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2015/802754

zbMATH Keywords

classification algorithmsbiogeography-based optimizationunsupervised data classification

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Taxonomy, cladistics, statistics in mathematical biology (92B10)

Uses Software

• UCI-ml
• GSA

Cites Work

• The application of cluster analysis in geophysical data interpretation
• Chameleon based on clustering feature tree and its application in customer segmentation
• GSA: A gravitational search algorithm
• A clustering method to identify representative financial ratios
• Metaheuristic clustering
• A new nonsmooth optimization algorithm for minimum sum-of-squares clustering problems
• The complexity of the generalized Lloyd - Max problem (Corresp.)
• Neuro-fuzzy clustering of radiographic tibia image data using type 2 fuzzy sets

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