Legends: |
Link to a Model |
Reference cited by multiple papers |

## References and models cited by this paper | ## References and models that cite this paper | |

Astrahan MM (1970) Speech analysis by clustering, or the hyperphoneme method Stanford A I Project MemoBezdek JC, Kuncheva LI (2001) Nearest prototype classifier designs: An experimental study Int J Intell Sys 16:1445-1473Blum AL, Langley P (1997) Selection of relevant feature and examples in machine learning Art Intell 97:245-271Catlett J (1991) Megainduction: Machine learning on very large databases Unpublished doctoral dissertationChang CL (1974) Finding prototypes for nearest neighbor classifiers IEEE Trans Computers 23:1179-1184Chow TWS, Wu S (2004) An online cellular probabilistic self-organizing map for static and dynamic data Sets IEEE Trans On Circuits And Systems 51:732-747Cover TM, Thomas JA (1991) Elements of Information TheoryDasarathy BV (1991) Nearest neighbor (NN) norms: NN pattern classification techniquesDuda RO, Hart PE, Stork DG (2000) Pattern Classification (2nd edition)Friedman JH (1997) Data mining and statistics: What's the connection? Available online at http:--www.salford-systems.com-doc-dm-stat.pdfGersho A, Gray RM (1992) Vector quantization and signal compressionHan JW, Kamber M (2001) Data mining: Concepts and techniquesHaykin S (1999) Neural Networks: A Comprehensive Foundation (2nd Ed)Khotanzad A, Lu JH (1990) Classification of invariant image representations using a neural network IEEE Transactions On Signal Process 38:1028-1038Kohonen T (1995) Self-organizing MapsMitra P, Murthy CA, Pal SK (2002) Density-based multiscale data condensation IEEE Trans On PAMI 24:734-747Parzen E (1962) On the estimation of a probability density function and mode Ann Math Stat 33:1064-1076Plutowski M, White H (1993) Selecting concise training sets from clean data. IEEE Trans Neural Netw 4:305-18 [Journal] [PubMed]Provost F, Kolluri V (1999) A survey of methods for scaling up inductive algorithms Data Mining And Knowledge Discovery 2:131-169Quinlan R (1983) Learning efficient classification procedures and their application to chess end games Machine Learning-an Artificial Intelligence Approach, Michalski RS:Carbonell JG:Mitechell TM, ed. pp.463Roy N, Mccallum A (2001) Toward optimal active learning through sampling estimation of error reduction Proc. 18th International Conference on Machine Learning (Available online at www.cs.umass.edu-mccallum-papers-active-icm-101.ps)Scott DW (1992) Multivariate density estimation: Theory, practice, and visualizationWilson DR, Martinez TR (2000) Reduction techniques for instance-based learning algorithms Machine Learning 38:257-286Yang ZP, Zwolinski M (2001) Mutual information theory for adaptive mixture models IEEE Trans On PAMI 23:396-403 |