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FLAIRS
2004
13 years 10 months ago
Clustering Spatial Data in the Presence of Obstacles
Clustering is a form of unsupervised machine learning. In this paper, we proposed the DBRS_O method to identify clusters in the presence of intersected obstacles. Without doing an...
Xin Wang, Howard J. Hamilton
CIARP
2004
Springer
14 years 2 months ago
Parallel Algorithm for Extended Star Clustering
In this paper we present a new parallel clustering algorithm based on the extended star clustering method. This algorithm can be used for example to cluster massive data sets of do...
Reynaldo Gil-García, José Manuel Bad...
BROADNETS
2004
IEEE
14 years 17 days ago
Design and Analysis of a Fast Local Clustering Service for Wireless Sensor Networks
We present a fast local clustering service, FLOC, that partitions a multi-hop wireless network into nonoverlapping and approximately equal-sized clusters. Each cluster has a clust...
Murat Demirbas, Anish Arora, Vineet Mittal, Vinod ...
SIGIR
2004
ACM
14 years 2 months ago
Learning to cluster web search results
Organizing Web search results into clusters facilitates users' quick browsing through search results. Traditional clustering techniques are inadequate since they don't g...
Hua-Jun Zeng, Qi-Cai He, Zheng Chen, Wei-Ying Ma, ...