PROBABILISTIC DISTANCE CLUSTERING ADJUSTED FOR CLUSTER SIZE
PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES, cilt.22, sa.4, ss.603-621, 2008 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 22 Sayı: 4
- Basım Tarihi: 2008
- Doi Numarası: 10.1017/s0269964808000351
- Dergi Adı: PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.603-621
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Orta Doğu Teknik Üniversitesi Adresli: Hayır
Özet
The probabilistic distance clustering method of [1] works well if the cluster sizes are approximately equal. We modify that method to deal with clusters of arbitrary size and for problems where the cluster sizes are themselves unknowns that need to be estimated. In the latter case, our method is a viable alternative to the expectation-maximization (EM) method.