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» Clustering by pattern similarity in large data sets
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SDM
2009
SIAM
176views Data Mining» more  SDM 2009»
14 years 4 months ago
Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets.
Large amounts of remotely sensed data calls for data mining techniques to fully utilize their rich information content. In this paper, we study new means of discovery and summariz...
Wei Ding 0003, Tomasz F. Stepinski, Josue Salazar
ICDE
1999
IEEE
183views Database» more  ICDE 1999»
14 years 9 months ago
ROCK: A Robust Clustering Algorithm for Categorical Attributes
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim
IMSCCS
2006
IEEE
14 years 1 months ago
Clustering of Gene Expression Data: Performance and Similarity Analysis
Background: DNA Microarray technology is an innovative methodology in experimental molecular biology, which has produced huge amounts of valuable data in the profile of gene expre...
Longde Yin, Chun-Hsi Huang
IDA
2005
Springer
14 years 1 months ago
From Local Pattern Mining to Relevant Bi-cluster Characterization
Clustering or bi-clustering techniques have been proved quite useful in many application domains. A weakness of these techniques remains the poor support for grouping characterizat...
Ruggero G. Pensa, Jean-François Boulicaut
VISUALIZATION
1999
IEEE
13 years 12 months ago
Hierarchical Parallel Coordinates for Exploration of Large Datasets
Our ability to accumulate large, complex (multivariate) data sets has far exceeded our ability to effectively process them in search of patterns, anomalies, and other interesting ...
Ying-Huey Fua, Matthew O. Ward, Elke A. Rundenstei...