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DMKD
1997
ACM
308views Data Mining» more  DMKD 1997»
13 years 12 months ago
A Fast Clustering Algorithm to Cluster Very Large Categorical Data Sets in Data Mining
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
Zhexue Huang
RECOMB
2008
Springer
14 years 8 months ago
CompostBin: A DNA Composition-Based Algorithm for Binning Environmental Shotgun Reads
A major hindrance to studies of microbial diversity has been that the vast majority of microbes cannot be cultured in the laboratory and thus are not amenable to traditional method...
Sourav Chatterji, Ichitaro Yamazaki, Zhaojun Bai, ...
CCGRID
2001
IEEE
13 years 11 months ago
Software Environments For Cluster-Based Display Systems
An inexpensive way to construct a scalable display wall system is to use a cluster of PCs with commodity graphics accelerators to drive an array of projectors. A challenge is to b...
Han Chen, Douglas W. Clark, Zhiyan Liu, Grant Wall...
CIDM
2007
IEEE
13 years 11 months ago
An Efficient Distance Calculation Method for Uncertain Objects
Recently the academic communities have paid more attention to the queries and mining on uncertain data. In the tasks such as clustering or nearest-neighbor queries, expected distan...
Lurong Xiao, Edward Hung
FLAIRS
2004
13 years 9 months ago
Adaptive K-Means Clustering
Clustering is used to organize data for efficient retrieval. One of the problems in clustering is the identification of clusters in given data. A popular technique for clustering ...
Sanjiv K. Bhatia