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GECCO
2004
Springer
127views Optimization» more  GECCO 2004»
14 years 2 months ago
Improved Niching and Encoding Strategies for Clustering Noisy Data Sets
Clustering is crucial to many applications in pattern recognition, data mining, and machine learning. Evolutionary techniques have been used with success in clustering, but most su...
Olfa Nasraoui, Elizabeth Leon
APWEB
2004
Springer
14 years 2 months ago
Semantic, Hierarchical, Online Clustering of Web Search Results
Today, search engine is the most commonly used tool for Web information retrieval, however, its current status is still far from satisfaction. This paper focuses on clustering Web...
Dell Zhang, Yisheng Dong
NIPS
2004
13 years 10 months ago
Limits of Spectral Clustering
An important aspect of clustering algorithms is whether the partitions constructed on finite samples converge to a useful clustering of the whole data space as the sample size inc...
Ulrike von Luxburg, Olivier Bousquet, Mikhail Belk...
EWIMT
2004
13 years 10 months ago
Fuzzy Clustering with Pairwise Constraints for Knowledge-Driven Image Categorization
The identification of categories in image databases usually relies on clustering algorithms that only exploit the feature-based similarities between images. The addition of semant...
Nizar Grira, Michel Crucianu, Nozha Boujemaa
EDBT
2004
ACM
268views Database» more  EDBT 2004»
14 years 9 months ago
DBDC: Density Based Distributed Clustering
Abstract. Clustering has become an increasingly important task in modern application domains such as marketing and purchasing assistance, multimedia, molecular biology as well as m...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle