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» Cluster validation using information stability measures
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CIKM
2006
Springer
13 years 9 months ago
Efficiently clustering transactional data with weighted coverage density
In this paper, we propose a fast, memory-efficient, and scalable clustering algorithm for analyzing transactional data. Our approach has three unique features. First, we use the c...
Hua Yan, Keke Chen, Ling Liu
GECCO
2008
Springer
171views Optimization» more  GECCO 2008»
13 years 8 months ago
Particle swarm clustering ensemble
Extracting natural groups of the unlabeled data is known as clustering. To improve the stability and robustness of the clustering outputs, clustering ensembles have emerged recent...
Abbas Ahmadi, Fakhri Karray, Mohamed Kamel
WILF
2009
Springer
138views Fuzzy Logic» more  WILF 2009»
14 years 2 months ago
An Experimental Validation of Some Indexes of Fuzzy Clustering Similarity
Measuring the similarity between clusterings is a classic problem with several proposed solutions. In this work we focus on measures based on coassociation of data pairs and perfor...
Stefano Rovetta, Francesco Masulli
MICCAI
2008
Springer
14 years 8 months ago
A Slicing-Based Coherence Measure for Clusters of DTI Integral Curves
We present a slicing-based coherence measure for clusters of DTI integral curves. For a given cluster, we probe samples from the cluster by slicing it with a plane at regularly spa...
Çagatay Demiralp, Gregory Shakhnarovich, So...
CAISE
2009
Springer
14 years 2 months ago
Analysis and Validation of Control-Flow Complexity Measures with BPMN Process Models
Evaluating the complexity of business processes during the early stages of their development, primarily during the process modelling phase, provides organizations and stakeholder w...
Elvira Rolón Aguilar, Jorge Cardoso, F&eacu...