Kernel approaches can improve the performance of conventional clustering or classification algorithms for complex distributed data. This is achieved by using a kernel function, which is defined as the inner product of two values obtained by a transformation function. In doing so, this allows algorit
โฆ LIBER โฆ
Comments on "A possibilistic approach to clustering"
โ Scribed by Barni, M.; Cappellini, V.; Mecocci, A.
- Book ID
- 118171386
- Publisher
- IEEE
- Year
- 1996
- Tongue
- English
- Weight
- 857 KB
- Volume
- 4
- Category
- Article
- ISSN
- 1063-6706
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