Author:
Ayaquica-Martínez I. O.,Martínez-Trinidad J. F.,Carrasco-Ochoa J. A.
Publisher
Springer Berlin Heidelberg
Reference5 articles.
1. Hanson, S.J.: Conceptual clustering and categorization: bridging the gap between induction and causal models. In: Kodratoff, Y., Michalski, R.S. (eds.) Machine Learning: an artificial intelligence approach, vol. 3, pp. 235–268. Morgan Kaufmann, Los Altos (1990)
2. Ralambondrainy, H.: A conceptual version of the K-means algorithm. Pattern Recognition Letters 16, 1147–1157 (1995)
3. Ralambondrainy, H.: A clustering method for nominal data and mixture of numerical and nominal data. In: Proc. First Conf. Internat. Federation of Classification Societies, Aachen (1987)
4. García Serrano, J.R., Martínez-Trinidad, J.F.: Extension to k-means algorithm for the use of similarity functions. In: 3rd European Conference on Principles of Data Mining and Knowledge Discovery Proceedings, Prague, Czech. Republic, pp. 354–359 (1999)
5. http://www.ics.uci.edu/pub/machine-learning-databases/
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献