✦ LIBER ✦

Fuzzy clustering with a knowledge-based guidance

✍ Scribed by Witold Pedrycz

Book ID: 108234662
Publisher: Elsevier Science
Year: 2004
Tongue: English
Weight: 519 KB
Volume: 25
Category: Article
ISSN: 0167-8655
DOI: 10.1016/j.patrec.2003.12.010

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Car-parking guidance with fuzzy knowledg

Car-parking guidance with fuzzy knowledge-based decision making

✍ Thananchai Leephakpreeda 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 818 KB

A knowledge-based clustering scheme

✍ B. Shekar; M.Narasimha Murty; G. Krishna 📂 Article 📅 1987 🏛 Elsevier Science 🌐 English ⚖ 494 KB

A knowledge-based clustering algorithm

✍ V. Sridhar; M. Narasimha Murty 📂 Article 📅 1991 🏛 Elsevier Science 🌐 English ⚖ 476 KB

A novel fuzzy clustering algorithm based

A novel fuzzy clustering algorithm based on a fuzzy scatter matrix with optimality tests

✍ Kuo-Lung Wu; Jian Yu; Miin-Shen Yang 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 537 KB

Genetic-fuzzy mining with multiple minim

Genetic-fuzzy mining with multiple minimum supports based on fuzzy clustering

✍ Chun-Hao Chen; Tzung-Pei Hong; Vincent S. Tseng 📂 Article 📅 2010 🏛 Springer 🌐 English ⚖ 611 KB

A stability based validity method for fu

A stability based validity method for fuzzy clustering

✍ M. Falasconi; A. Gutierrez; M. Pardo; G. Sberveglieri; S. Marco 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 657 KB

An important goal in cluster analysis is the internal validation of results using an objective criterion. Of particular relevance in this respect is the estimation of the optimum number of clusters capturing the intrinsic structure of your data. This paper proposes a method to determine this optimum