Principal points estimation using mixture distributions

研究成果: Conference contribution

抜粋

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.

元の言語English
ホスト出版物のタイトル2012 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012 - Proceedings
ページ219-222
ページ数4
出版物ステータスPublished - 2012 12 1
イベント2012 4th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012 - Depok, Indonesia
継続期間: 2012 12 12012 12 2

出版物シリーズ

名前2012 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
Indonesia
Depok
期間12/12/112/12/2

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Information Systems

これを引用

Ueki, D., Matsuura, S., & Suzuki, H. (2012). Principal points estimation using mixture distributions. : 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).