Author:
Funes Ana Maria,Ferri Cesar,Hernández-Orallo Jose,Ramírez-Quintana Maria Jose
Publisher
Springer Berlin Heidelberg
Reference15 articles.
1. Jain, A.K., Murty, M.N., Flynn, P.J.: Data clustering: a review. ACM Comput. Survey 31(3), 264–323 (1999)
2. Berkhin, P.: A Survey of Clustering Data Mining Techniques, Grouping Multidimensional Data, pp. 25–71. Springer, Heidelberg (2006)
3. Michalski, R.S.: Knowledge Acquisition Through Conceptual Clustering: A Theoretical Framework and an Algorithm for Partitioning Data into Conjunctive Concepts. Policy Analysis and Information Systems 4(3), 219–244 (1980)
4. Michalski, R.S., Stepp, R.E.: Learning from Observation: Conceptual Clustering. In: Michalski, et al. (eds.) Machine Learning: An Artificial Intelligence Approach, pp. 331–363. TIOGA Publishing Co. (1983)
5. Ramon, J., Bruynooghe, M., Van Laer, W.: Distance measures between atoms. CompulogNet Meeting ComputingLogic & Machine Learning, 35–41 (1998)
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