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» Experiments on Graph Clustering Algorithms
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INCDM
2007
Springer
97views Data Mining» more  INCDM 2007»
14 years 4 months ago
Clustering by Random Projections
Abstract. Clustering algorithms for multidimensional numerical data must overcome special difficulties due to the irregularities of data distribution. We present a clustering algo...
Thierry Urruty, Chabane Djeraba, Dan A. Simovici
GECCO
2003
Springer
148views Optimization» more  GECCO 2003»
14 years 3 months ago
A Hybrid Immune Algorithm with Information Gain for the Graph Coloring Problem
We present a new Immune Algorithm that incorporates a simple local search procedure to improve the overall performances to tackle the graph coloring problem instances. We character...
Vincenzo Cutello, Giuseppe Nicosia, Mario Pavone
JMLR
2010
157views more  JMLR 2010»
13 years 5 months ago
Combining Experiments to Discover Linear Cyclic Models with Latent Variables
We present an algorithm to infer causal relations between a set of measured variables on the basis of experiments on these variables. The algorithm assumes that the causal relatio...
Frederick Eberhardt, Patrik O. Hoyer, Richard Sche...
DGO
2006
148views Education» more  DGO 2006»
13 years 11 months ago
Automatically labeling hierarchical clusters
Government agencies must often quickly organize and analyze large amounts of textual information, for example comments received as part of notice and comment rulemaking. Hierarchi...
Pucktada Treeratpituk, Jamie Callan
CIVR
2008
Springer
125views Image Analysis» more  CIVR 2008»
14 years 5 days ago
Leveraging user query log: toward improving image data clustering
Image clustering is useful in many retrieval and classification applications. The main goal of image clustering is to partition a given dataset into salient clusters such that the...
Hao Cheng, Kien A. Hua, Khanh Vu