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DEXAW
2008
IEEE
373views Database» more  DEXAW 2008»
15 years 10 months ago
Topic Detection by Clustering Keywords
We consider topic detection without any prior knowledge of category structure or possible categories. Keywords are extracted and clustered based on different similarity measures u...
Christian Wartena, Rogier Brussee
KDD
1998
ACM
123views Data Mining» more  KDD 1998»
15 years 8 months ago
Scaling Clustering Algorithms to Large Databases
Practical clustering algorithms require multiple data scans to achieve convergence. For large databases, these scans become prohibitively expensive. We present a scalable clusteri...
Paul S. Bradley, Usama M. Fayyad, Cory Reina
ICDM
2002
IEEE
122views Data Mining» more  ICDM 2002»
15 years 9 months ago
Using Category-Based Adherence to Cluster Market-Basket Data
In this paper, we devise an efficient algorithm for clustering market-basket data. Different from those of the traditional data, the features of market-basket data are known to b...
Ching-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen
BMCBI
2006
134views more  BMCBI 2006»
15 years 4 months ago
An approach for clustering gene expression data with error information
Background: Clustering of gene expression patterns is a well-studied technique for elucidating trends across large numbers of transcripts and for identifying likely co-regulated g...
Brian Tjaden
PKDD
2000
Springer
144views Data Mining» more  PKDD 2000»
15 years 7 months ago
Fast Hierarchical Clustering Based on Compressed Data and OPTICS
: One way to scale up clustering algorithms is to squash the data by some intelligent compression technique and cluster only the compressed data records. Such compressed data recor...
Markus M. Breunig, Hans-Peter Kriegel, Jörg S...