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Similarity-based Classification: Concepts and Algorithms.
- Source :
-
Journal of Machine Learning Research . 3/1/2009, Vol. 10 Issue 3, p747-776. 30p. 4 Charts, 2 Graphs. - Publication Year :
- 2009
-
Abstract
- This paper reviews and extends the field of similarity-based classification, presenting new analyses, algorithms, data sets, and a comprehensive set of experimental results for a rich collection of classification problems. Specifically, the generalizability of using similarities as features is analyzed, design goals and methods for weighting nearest-neighbors for similarity-based learning are proposed, and different methods for consistently converting similarities into kernels are compared. Experiments on eight real data sets compare eight approaches and their variants to similarity-based learning. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15324435
- Volume :
- 10
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Journal of Machine Learning Research
- Publication Type :
- Academic Journal
- Accession number :
- 47676562