Probabilistic D-clustering

Ben-Israel A., Iyigun C.

JOURNAL OF CLASSIFICATION, cilt.25, sa.1, ss.5-26, 2008 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 25 Sayı: 1
  • Basım Tarihi: 2008
  • Doi Numarası: 10.1007/s00357-008-9002-z
  • Dergi Adı: JOURNAL OF CLASSIFICATION
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus
  • Sayfa Sayıları: ss.5-26
  • Anahtar Kelimeler: clustering, probabilistic clustering, Mahalanobis distance, harmonic mean, joint distance function, Weiszfeld method, similarity matrix
  • Orta Doğu Teknik Üniversitesi Adresli: Hayır

Özet

We present a new iterative method for probabilistic clustering of data. Given clusters, their centers and the distances of data points from these centers, the probability of cluster membership at any point is assumed inversely proportional to the distance from (the center of) the cluster in question. This assumption is our working principle.