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ICPR
2002
IEEE
14 years 6 months ago
Fast Hierarchical Clustering Based on Compressed Data
: One way to scale up clustering algorithms is to squash the data by some intelligent compression technique and cluster only the compressed data records. Such compressed data recor...
Erendira Rendon, Ricardo Barandela
PKDD
2000
Springer
144views Data Mining» more  PKDD 2000»
13 years 8 months ago
Fast Hierarchical Clustering Based on Compressed Data and OPTICS
: One way to scale up clustering algorithms is to squash the data by some intelligent compression technique and cluster only the compressed data records. Such compressed data recor...
Markus M. Breunig, Hans-Peter Kriegel, Jörg S...
IPPS
2003
IEEE
13 years 10 months ago
A Hierarchical Model for Distributed Collaborative Computation in Wireless Sensor Networks
Clustering is an important characteristic of most sensor applications. In this paper we define COSMOS, the Cluster-based, heterOgeneouS MOdel for Sensor networks. The model assum...
Mitali Singh, Viktor K. Prasanna
LCN
2005
IEEE
13 years 10 months ago
The Time-Controlled Clustering Algorithm for Optimized Data Dissemination in Wireless Sensor Networks
—Wireless sensor networks afford a new opportunity to observe and interact with physical phenomena at an unprecedented fidelity. To fully realize this vision, these networks have...
S. Selvakennedy, Sukunesan Sinnappan
SIGMOD
2001
ACM
200views Database» more  SIGMOD 2001»
14 years 5 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...