Clustering Algorithms Based on Tolerance Vector Concept
-
- ENDO Yasunori
- University of Tsukuba
-
- HASEGAWA Yasushi
- University of Tsukuba
-
- HAMASUNA Yukihiro
- University of Tsukuba
Abstract
This paper provides new clustering algorithms for data with tolerance. Tolerance includes wide meanings, e.g., calculation errors and loss of attribute of data. The tolerance is modi?ed using by new concept of tolerance vector. First, the concept is explained and optimization problems of clustering are formulated using the vectors. Second, the problems are solved using some different ways. Third, the new clustering algorithms are constructed by using the solutions of the problems. Moreover, the e?ectiveness of proposed algorithms is veri?ed through some numerical examples.
Journal
-
- IEICE Proceeding Series
-
IEICE Proceeding Series 41 276-279, 2007-09-16
The Institute of Electronics, Information and Communication Engineers
- Tweet
Details 詳細情報について
-
- CRID
- 1390845702290315136
-
- NII Article ID
- 230000007908
-
- ISSN
- 21885079
-
- Text Lang
- en
-
- Data Source
-
- JaLC
- CiNii Articles
-
- Abstract License Flag
- Disallowed