A Novel Piecewise Linear Clustering Technique Based on Hyper Plane Adjustment

DOI10.1007/978-3-540-89985-3_1zbMath1343.68207OpenAlexW18122108MaRDI QIDQ3628428

Elham Chitsaz, S. D. Katebi, Mohammad Taheri, Mansoor Z. Jahromi

Publication date: 20 May 2009

Published in: Communications in Computer and Information Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-540-89985-3_1

zbMATH Keywords

pattern recognitionclusteringunsupervised learninglinearitysearch strategyparameter adjustment

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (1)

A novel weight adjustment method for handling concept-drift in data stream classification

Cites Work

• A proposed method for learning rule weights in fuzzy rule-based classification systems
• Unnamed Item

This page was built for publication: A Novel Piecewise Linear Clustering Technique Based on Hyper Plane Adjustment