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» Measuring Similarity between Sets of Overlapping Clusters
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SDM
2007
SIAM
112views Data Mining» more  SDM 2007»
15 years 2 months ago
PoClustering: Lossless Clustering of Dissimilarity Data
Given a set of objects V with a dissimilarity measure between pairs of objects in V , a PoCluster is a collection of sets P ⊂ powerset(V ) partially ordered by the ⊂ relation ...
Jinze Liu, Qi Zhang, Wei Wang 0010, Leonard McMill...
82
Voted
CRV
2006
IEEE
132views Robotics» more  CRV 2006»
15 years 4 months ago
Automatic Classification of Outdoor Images by Region Matching
This paper presents a novel method for image classification. It differs from previous approaches by computing image similarity based on region matching. Firstly, the images to be ...
Oliver van Kaick, Greg Mori
98
Voted
ESEM
2007
ACM
15 years 4 months ago
Using Context Distance Measurement to Analyze Results across Studies
Providing robust decision support for software engineering (SE) requires the collection of data across multiple contexts so that one can begin to elicit the context variables that...
Daniela Cruzes, Victor R. Basili, Forrest Shull, M...
BMCBI
2010
97views more  BMCBI 2010»
14 years 7 months ago
A semi-parametric Bayesian model for unsupervised differential co-expression analysis
Background: Differential co-expression analysis is an emerging strategy for characterizing disease related dysregulation of gene expression regulatory networks. Given pre-defined ...
Johannes M. Freudenberg, Siva Sivaganesan, Michael...
104
Voted
SDM
2009
SIAM
225views Data Mining» more  SDM 2009»
15 years 10 months ago
Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
Fei Wang, Chris H. Q. Ding, Tao Li