Pseudo-density estimation for clustering with Gaussian processes
SCIE
SCOPUS
- Title
- Pseudo-density estimation for clustering with Gaussian processes
- Authors
- Kim, HC; Lee, J
- Date Issued
- 2006-01
- Publisher
- SPRINGER-VERLAG BERLIN
- Abstract
- Gaussian processes (GP) provide a kernel machine framework. They have been mainly applied to regression and classification. We propose a pseudo-density estimation method based on the information of variance functions of GPs, which relates to the density of the data points. We also show how the constructed pseudo-density can be applied to clustering. Through simulation we show that the topology of the pseudo-density represents the clustering information well with promising results.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/23993
- DOI
- 10.1007/11759966_183
- ISSN
- 0302-9743
- Article Type
- Article
- Citation
- LECTURE NOTES IN COMPUTER SCIENCE, vol. 3971, page. 1238 - 1243, 2006-01
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