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» Probabilistic clustering of time-evolving distance data
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CLASSIFICATION
2008
111views more  CLASSIFICATION 2008»
13 years 4 months ago
Probabilistic D-Clustering
: 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 clus...
Adi Ben-Israel, Cem Iyigun
PRIS
2007
13 years 6 months ago
A Novel Distance Measure for Interval Data
Interval data is attracting attention from the data analysis community due to its ability to describe complex concepts. Since clustering is an important data analysis tool, extendi...
Jie Ouyang, Ishwar K. Sethi
KDD
2004
ACM
132views Data Mining» more  KDD 2004»
14 years 5 months ago
A probabilistic framework for semi-supervised clustering
Unsupervised clustering can be significantly improved using supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clu...
Sugato Basu, Mikhail Bilenko, Raymond J. Mooney
ICML
2010
IEEE
13 years 5 months ago
The Translation-invariant Wishart-Dirichlet Process for Clustering Distance Data
We present a probabilistic model for clustering of objects represented via pairwise dissimilarities. We propose that even if an underlying vectorial representation exists, it is b...
Julia E. Vogt, Sandhya Prabhakaran, Thomas J. Fuch...
CVPR
2008
IEEE
13 years 11 months ago
Fuzzy chamfer distance and its probabilistic formulation for visual tracking
The paper presents a fuzzy chamfer distance and its probabilistic formulation for edge-based visual tracking. First, connections of the chamfer distance and the Hausdorff distance...
Yonggang Jin, Farzin Mokhtarian, Miroslaw Bober, J...