1. K. Doherty, R. Adams, and N. Davey. Unsupervised learning with normalised data and non-Euclidean norms. Applied Soft Computing, 2006. Note: In Press. Keyword(s): distance measures, data normalisation, unsupervised learning, neural gas, growing neural gas, self-organising map, k-means. [bibtex-entry]



2. D. Modha and W. Spangler. Feature weighting in k-means clustering. Machine Learning, 52(3):217-237, 2003. Keyword(s): clustering, convexity, convex k-means algorithm, feature combination, feature selection, Fisher’s discriminant analysis, text mining, unsupervised learning. [bibtex-entry]



3. F. Von Zuben and L.C.T. Gomes. Multiple criteria optimization based on unsupervised learning and fuzzy inference applied to the vehicle routing problem. Journal of Intelligent & Fuzzy Systems, 13(2-4):143-154, 2003. Keyword(s): mathematical optimization, multiple criteria decision making, fuzzy systems, routing- machines, system analysis. [bibtex-entry]



4. Y.-S. Kim, W. Street, and F. Menczer. Evolutionary model selection in unsupervised learning. Intelligent Data Analysis, 6(6):531-558, 2002. Keyword(s): information storage & retrieval systems, evolutionary programming (computer science), heuristic programming. [bibtex-entry]



5. M. Vrahatis, B. Boutsinas, P. Alevizos, and G. Pavlides. The new k-windows algorithm for improving the k-means clustering algorithm. Journal of Complexity, 18(1):375-391, 2002. Keyword(s): k-means clustering algorithm, unsupervised learning, data mining, range search. [bibtex-entry]

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All person copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Les documents contenus dans ces répertoires sont rendus disponibles par les auteurs qui y ont contribué en vue d'assurer la diffusion à temps de travaux savants et techniques sur une base non-commerciale. Les droits de copie et autres droits sont gardés par les auteurs et par les détenteurs du copyright, en dépit du fait qu'ils présentent ici leurs travaux sous forme électronique. Les personnes copiant ces informations doivent adhérer aux termes et contraintes couverts par le copyright de chaque auteur. Ces travaux ne peuvent pas être rendus disponibles ailleurs sans la permission explicite du détenteur du copyright.

This document was translated from BibT_EX by bibtex2html