On parameter estimation for normal mixtures based on fuzzy clustering algorithms
β Scribed by Miin-Shen Yang; Chen-Feng Su
- Publisher
- Elsevier Science
- Year
- 1994
- Tongue
- English
- Weight
- 753 KB
- Volume
- 68
- Category
- Article
- ISSN
- 0165-0114
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Fuzzy multiset is applicable as a model of information retrieval because it has the mathematical structure that expresses the number and the degree of attribution of an element simultaneously. Therefore, fuzzy multisets can be used also as a suitable model for document clustering. This paper aims at
This paper presents an idea of clustering resolution. On the basis of the idea, fuzzy clustering algorithms based on resolution are deduced, which naturally comprise a set of clustering algorithms. Thus, c-means algorithm and fuzzy c-means algorithms are actually special examples in the set. As an a
## Abstract Fuzzy theory appears to be extremely effective at handling dynamic, nonβlinear and noisy data, especially when the underlying physical relationships are not fully understood. Since hydrologists are still uncertain about many of the aspects of the physical processes in the watershed, fuz
## Abstract In this paper we develop likelihoodβbased methods for statistical inference in a joint system of equations for the choice of length of schooling and earnings. The model for schooling choice is assumed to be an ordered probit model, whereas the earnings equation contains variables that a