๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

On tolerant fuzzyc-means clustering and tolerant possibilistic clustering

โœ Scribed by Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto

Book ID
106169341
Publisher
Springer
Year
2009
Tongue
English
Weight
652 KB
Volume
14
Category
Article
ISSN
1432-7643

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Kernel approach to possibilistic C-means
Kernel approach to possibilistic C-means clustering
โœ Frank Chung-Hoon Rhee; Kil-Soo Choi; Byung-In Choi ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 525 KB

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