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206
Voted
ICDM
2006
IEEE
2006
IEEE
Hierarchical Density Shaving: A clustering and visualization framework for large biological datasets
16 years 1 months ago
In many clustering applications for bioinformatics, only part of the data clusters into one or more groups while the rest needs to be pruned. For such situations, we present Hiera...
243
Voted
SIGMOD
2001
ACM
16 years 7 months ago
2001
ACM
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
241
Voted
SDM
2007
SIAM
15 years 8 months ago
2007
SIAM
Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...
204
Voted
SIGIR
2003
ACM
16 years 20 days ago
2003
ACM
Most existing clustering algorithms cluster highly related data objects such as Web pages and Web users separately. The interrelation among different types of data objects is eith...
223
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KDD
2010
ACM
15 years 11 months ago
2010
ACM
The detection of repeated subsequences, time series motifs, is a problem which has been shown to have great utility for several higher-level data mining algorithms, including clas...