Principal points estimation using mixture distributions

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The k-principal points of a distribution are the k points that optimally partition the distribution. In this paper, we propose a method to estimate principal points from data by using mixture distributions when we have no prior knowledge of the distribution of data. Several simulation results are presented to compare the proposed method with the nonparametric k-means.

Original languageEnglish
Title of host publication2012 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012 - Proceedings
Pages219-222
Number of pages4
Publication statusPublished - 2012 Dec 1
Event2012 4th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012 - Depok, Indonesia
Duration: 2012 Dec 12012 Dec 2

Publication series

Name2012 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012 - Proceedings

Other

Other2012 4th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012
CountryIndonesia
CityDepok
Period12/12/112/12/2

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Information Systems

Cite this

Ueki, D., Matsuura, S., & Suzuki, H. (2012). Principal points estimation using mixture distributions. In 2012 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012 - Proceedings (pp. 219-222). [6468726] (2012 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012 - Proceedings).