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PKDD
2001
Springer
114views Data Mining» more  PKDD 2001»
14 years 3 months ago
A Study on the Hierarchical Data Clustering Algorithm Based on Gravity Theory
This paper discusses the clustering quality and complexities of the hierarchical data clustering algorithm based on gravity theory. The gravitybased clustering algorithm simulates ...
Yen-Jen Oyang, Chien-Yu Chen, Tsui-Wei Yang
CLEF
2007
Springer
14 years 3 months ago
Experiments in Classification Clustering and Thesaurus Expansion for Domain Specific Cross-Language Retrieval
In this paper we will describe Berkeley's approach to the Domain Specific (DS) track for CLEF 2007. This year we are using forms of the Entry Vocabulary Indexes and Thesaurus...
Ray R. Larson
ISMIS
2005
Springer
14 years 4 months ago
Using Supervised Clustering to Enhance Classifiers
Abstract. This paper centers on a novel data mining technique we term supervised clustering. Unlike traditional clustering, supervised clustering is applied to classified examples ...
Christoph F. Eick, Nidal M. Zeidat
ESANN
2006
14 years 17 days ago
Data topology visualization for the Self-Organizing Map
The Self-Organizing map (SOM), a powerful method for data mining and cluster extraction, is very useful for processing data of high dimensionality and complexity. Visualization met...
Kadim Tasdemir, Erzsébet Merényi
ICML
2005
IEEE
15 years 55 min ago
Error bounds for correlation clustering
This paper presents a learning theoretical analysis of correlation clustering (Bansal et al., 2002). In particular, we give bounds on the error with which correlation clustering r...
Thorsten Joachims, John E. Hopcroft