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» Data Clustering: A Review
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SIGIR
2000
ACM
15 years 11 months ago
An investigation of linguistic features and clustering algorithms for topical document clustering
We investigate four hierarchical clustering methods (single-link, complete-link, groupwise-average, and single-pass) and two linguistically motivated text features (noun phrase he...
Vasileios Hatzivassiloglou, Luis Gravano, Ankineed...
ICC
2009
IEEE
117views Communications» more  ICC 2009»
15 years 4 months ago
NetCluster: A Clustering-Based Framework for Internet Tomography
In this paper, Internet data collected via passive measurement are analyzed to obtain localization information on nodes by clustering (i.e., grouping together) nodes that exhibit s...
Elena Baralis, Andrea Bianco, Tania Cerquitelli, L...
JMLR
2010
211views more  JMLR 2010»
15 years 1 months ago
Minimum Conditional Entropy Clustering: A Discriminative Framework for Clustering
In this paper, we introduce an assumption which makes it possible to extend the learning ability of discriminative model to unsupervised setting. We propose an informationtheoreti...
Bo Dai, Baogang Hu
ADBIS
2007
Springer
132views Database» more  ADBIS 2007»
16 years 23 days ago
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
Rayner Alfred, Dimitar Kazakov
SIGKDD
2010
126views more  SIGKDD 2010»
15 years 1 months ago
MultiClust 2010: discovering, summarizing and using multiple clusterings
Traditional clustering focuses on finding a single best clustering solution from data. However, given a single data set, one could interpret it in different ways. This is particul...
Xiaoli Z. Fern, Ian Davidson, Jennifer G. Dy