|
Gustafson-Kessel-like clustering algorithm based on typicality degrees
Marie-Jeanne Lesot and Rudolf Kruse
In: Int. Conf. on Information Processing and Management of Uncertainty, Paris, France(2006).
AbstractTypicality degrees were defined in
supervised learning as a tool to
build characteristic representatives
for data categories. In this paper, an
extension of these typicality degrees
to unsupervised learning is proposed
to perform clustering. The proposed
algorithm constitutes a Gustafson-
Kessel variant and makes it possible
to identify ellipsoidal clusters with
robustness as regards outliers. | EPrint Type: | Conference or Workshop Item (Paper) |
|---|
| Project Keyword: | Project Keyword UNSPECIFIED |
|---|
| Subjects: | Theory & Algorithms |
|---|
| ID Code: | 2927 |
|---|
| Deposited By: | Marie-Jeanne Lesot |
|---|
| Deposited On: | 23 November 2006 |
|---|
[Edit]
| 