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» Clustering Large Datasets in Arbitrary Metric Spaces
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ICPR
2010
IEEE
14 years 21 days ago
On the Scalability of Evidence Accumulation Clustering
Abstract—This work focuses on the scalability of the Evidence Accumulation Clustering (EAC) method. We first address the space complexity of the co-association matrix. The spars...
André Lourenço, Ana Luisa Nobre Fred, Anil Jain
VLDB
1998
ACM
312views Database» more  VLDB 1998»
13 years 11 months ago
WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases
Many applications require the management of spatial data. Clustering large spatial databases is an important problem which tries to find the densely populated regions in the featu...
Gholamhosein Sheikholeslami, Surojit Chatterjee, A...
BMCBI
2007
265views more  BMCBI 2007»
13 years 7 months ago
Large scale clustering of protein sequences with FORCE -A layout based heuristic for weighted cluster editing
Background: Detecting groups of functionally related proteins from their amino acid sequence alone has been a long-standing challenge in computational genome research. Several clu...
Tobias Wittkop, Jan Baumbach, Francisco P. Lobo, S...
SIGMOD
1996
ACM
151views Database» more  SIGMOD 1996»
13 years 11 months ago
BIRCH: An Efficient Data Clustering Method for Very Large Databases
Finding useful patterns in large datasets has attracted considerable interest recently, and one of the most widely st,udied problems in this area is the identification of clusters...
Tian Zhang, Raghu Ramakrishnan, Miron Livny
ICDM
2008
IEEE
146views Data Mining» more  ICDM 2008»
14 years 1 months ago
Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets
Clustering problems often involve datasets where only a part of the data is relevant to the problem, e.g., in microarray data analysis only a subset of the genes show cohesive exp...
Meghana Deodhar, Joydeep Ghosh, Gunjan Gupta, Hyuk...