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» A Method for Dynamic Clustering of Data
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IJHPCA
2002
99views more  IJHPCA 2002»
14 years 11 months ago
Semantic Information Fusion for Coordinated Signal Processing in Mobile Sensor Networks
Distributed cognition of dynamic processes is commonly observed in mobile groups of animates like schools of fish, hunting lions, or in human teams for sports or military maneuvers...
David Friedlander, Shashi Phoha
SIGMOD
2001
ACM
200views Database» more  SIGMOD 2001»
15 years 12 months ago
Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering
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...
Markus M. Breunig, Hans-Peter Kriegel, Peer Kr&oum...
BMCBI
2008
142views more  BMCBI 2008»
14 years 12 months ago
Genetic weighted k-means algorithm for clustering large-scale gene expression data
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
Fang-Xiang Wu
EDBT
2000
ACM
15 years 4 months ago
Dynamically Optimizing High-Dimensional Index Structures
In high-dimensional query processing, the optimization of the logical page-size of index structures is an important research issue. Even very simple query processing techniques suc...
Christian Böhm, Hans-Peter Kriegel
FGCN
2008
IEEE
240views Communications» more  FGCN 2008»
15 years 6 months ago
Data Compression Algorithm Based on Hierarchical Cluster Model for Sensor Networks
A new distributed algorithm of data ccompression based on hierarchical cluster model for sensor networks is proposed, the basic ideas of which are as follows, firstly the whole se...
Tongsen Wang, Lei Wang, Zhijun Xie, Ronghua Yang