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ISNN
2004
Springer
15 years 4 months ago
Unsupervised Learning for Hierarchical Clustering Using Statistical Information
This paper proposes a novel hierarchical clustering method that can classify given data without specified knowledge of the number of classes. In this method, at each node of a hie...
Masaru Okamoto, Nan Bu, Toshio Tsuji
DMIN
2006
143views Data Mining» more  DMIN 2006»
15 years 15 days ago
Reverse Tree Clustering
Common document clustering algorithms utilize models that either divide a corpus into smaller clusters or gather individual documents into clusters. Hierarchical Agglomerative Clus...
Casey Bartman, Jamal R. Alsabbagh
CSB
2005
IEEE
115views Bioinformatics» more  CSB 2005»
15 years 4 months ago
A New Clustering Strategy with Stochastic Merging and Removing Based on Kernel Functions
With hierarchical clustering methods, divisions or fusions, once made, are irrevocable. As a result, when two elements in a bottom-up algorithm are assigned to one cluster, they c...
Huimin Geng, Hesham H. Ali
ECML
2007
Springer
15 years 3 months ago
User Oriented Hierarchical Information Organization and Retrieval
Abstract. In order to organize huge document collections, labeled hierarchical structures are used frequently. Users are most efficient in navigating such hierarchies, if they refl...
Korinna Bade, Marcel Hermkes, Andreas Nürnber...
DGO
2006
148views Education» more  DGO 2006»
15 years 15 days 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