Sciweavers

960 search results - page 53 / 192
» CURE: An Efficient Clustering Algorithm for Large Databases
Sort
View
ISMB
2000
15 years 6 months ago
Genes, Themes, and Microarrays: Using Information Retrieval for Large-Scale Gene Analysis
The immensevolumeof data resulting from DNAmicroarray experiments, accompaniedby an increase in the numberof publications discussing gene-related discoveries, presents a majordata...
Hagit Shatkay, Stephen Edwards, W. John Wilbur, Ma...
NN
2006
Springer
113views Neural Networks» more  NN 2006»
15 years 4 months ago
Large-scale data exploration with the hierarchically growing hyperbolic SOM
We introduce the Hierarchically Growing Hyperbolic Self-Organizing Map (H2 SOM) featuring two extensions of the HSOM (hyperbolic SOM): (i) a hierarchically growing variant that al...
Jörg Ontrup, Helge Ritter
WWW
2004
ACM
16 years 5 months ago
Web image learning for searching semantic concepts in image databases
Without textual descriptions or label information of images, searching semantic concepts in image databases is still a very challenging task. While automatic annotation techniques...
Chu-Hong Hoi, Michael R. Lyu
JPDC
2008
92views more  JPDC 2008»
15 years 5 months ago
Techniques for pipelined broadcast on ethernet switched clusters
By splitting a large broadcast message into segments and broadcasting the segments in a pipelined fashion, pipelined broadcast can achieve high performance in many systems. In thi...
Pitch Patarasuk, Xin Yuan, Ahmad Faraj
EDBT
2004
ACM
142views Database» more  EDBT 2004»
16 years 5 months ago
Iterative Incremental Clustering of Time Series
We present a novel anytime version of partitional clustering algorithm, such as k-Means and EM, for time series. The algorithm works by leveraging off the multi-resolution property...
Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dim...