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ICDM
2010
IEEE
198views Data Mining» more  ICDM 2010»
13 years 1 months ago
Hierarchical Ensemble Clustering
Ensemble clustering has emerged as an important elaboration of the classical clustering problems. Ensemble clustering refers to the situation in which a number of different (input)...
Li Zheng, Tao Li, Chris H. Q. Ding
UM
2001
Springer
13 years 8 months ago
Using Markov Chains for Structural Link Prediction in Adaptive Web Sites
My research investigates into using Markov chains to make link prediction and the transition matrix derived from Markov chains to acquire structural knowledge about Web sites. The ...
Jianhan Zhu
ICPR
2006
IEEE
14 years 4 months ago
A General Framework for Agglomerative Hierarchical Clustering Algorithms
This paper presents a general framework for agglomerative hierarchical clustering based on graphs. Specifying an inter-cluster similarity measure, a subgraph of the similarity gra...
Reynaldo Gil-García, José Manuel Bad...
ICPR
2008
IEEE
13 years 10 months ago
Combining hierarchical clusterings using min-transitive closure
In the past, clusterings combination approaches are based on “flat” clustering algorithms, i.e. algorithms that operate on non-hierarchical clustering schemes. These approache...
Abdolreza Mirzaei, Mohammad Rahmati
PKDD
2010
Springer
177views Data Mining» more  PKDD 2010»
13 years 2 months ago
ITCH: Information-Theoretic Cluster Hierarchies
Hierarchical clustering methods are widely used in various scientific domains such as molecular biology, medicine, economy, etc. Despite the maturity of the research field of hie...
Christian Böhm, Frank Fiedler, Annahita Oswal...