Validity index for crisp and fuzzy clusters
โ Scribed by Malay K. Pakhira; Sanghamitra Bandyopadhyay; Ujjwal Maulik
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 242 KB
- Volume
- 37
- Category
- Article
- ISSN
- 0031-3203
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Fuzzy cluster-validity criterion tends to evaluate the quality of fuzzy c-partitions produced by fuzzy clustering algorithms. Many functions have been proposed. Some methods use only the properties of fuzzy membership degrees to evaluate partitions. Others techniques combine the properties of member
An important goal in cluster analysis is the internal validation of results using an objective criterion. Of particular relevance in this respect is the estimation of the optimum number of clusters capturing the intrinsic structure of your data. This paper proposes a method to determine this optimum
A fuzzy extension of the Rand index [Rand, W.M., 1971. Objective criteria for the evaluation of clustering methods. J. Amer. Statist. Assoc. 846-850] is introduced in this paper. The Rand index is a traditional criterion for assessment and comparison of different results provided by classifiers and