Adapting k-means for supervised clustering

Author:

Al-Harbi S. H.,Rayward-Smith V. J.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference27 articles.

1. Al-Harbi S, Rayward-Smith VJ (2003) The Use of a Supervised k-means Algorithm on Real-Valued Data with Applications in Health. In: Chung PWH, Chris H, Ali Moois (ed) Developments in Applied Artificial Intelligence LNAI 2718. Springer-Verlag, UK, Loughborough, pp 575–581

2. Ayan NF (1999) Using Information Gain as Feature Weight. In: Proceedings of the 8th Turkish Symposium on Artificial Intelligence and Neural Networks (TAINN/99), Turkey

3. Basu S, Banerjee A, Mooney R (2002) Semi-supervised Clustering by Seeding.In: Proceedings of the 19th International Conference on Machine Learning (ICML-2002), Sydney, Australia

4. Berry M, Linoff G (1997) Data Mining Techniques for Marketing, Sales, and Customer Support. John Wiley and Sons, New York

5. Berson A, Thearling K, Smith S (1999) Building Data Mining Applications for CRM. McGraw-Hill ProfessionalPublishing

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