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» A Method for Dynamic Clustering of Data
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SC
1991
ACM
15 years 8 months ago
A method of vector processing for shared symbolic data
Kanada, Y., A method of vector processing for shared symbolic data, Parallel Computing, X (1993) XXX-XXX. Conventional processing techniques for pipelined vector processors such a...
Yasusi Kanada
IJCNN
2007
IEEE
15 years 11 months ago
Iterative Feature Selection in Gaussian Mixture Clustering with Automatic Model Selection
— This paper proposes an algorithm to deal with the feature selection in Gaussian mixture clustering by an iterative way: the algorithm iterates between the clustering and the un...
Hong Zeng, Yiu-ming Cheung
TSMC
2008
192views more  TSMC 2008»
15 years 4 months ago
AIDOA: An Adaptive and Energy-Conserving Indexing Method for On-Demand Data Broadcasting Systems
Since only a modest improvement in battery lifetime is expected in the next few years, energy conservation is raised as a key factor of the design of mobile devices. In view of th...
Jiun-Long Huang
ISPASS
2006
IEEE
15 years 10 months ago
Comparing multinomial and k-means clustering for SimPoint
SimPoint is a technique used to pick what parts of the program’s execution to simulate in order to have a complete picture of execution. SimPoint uses data clustering algorithms...
Greg Hamerly, Erez Perelman, Brad Calder
BMCBI
2004
126views more  BMCBI 2004»
15 years 4 months ago
Visualization and analysis of microarray and gene ontology data with treemaps
Background: The increasing complexity of genomic data presents several challenges for biologists. Limited computer monitor views of data complexity and the dynamic nature of data ...
Eric H. Baehrecke, Niem Dang, Ketan Babaria, Ben S...