329 search results - page 15 / 66 » Exact Algorithms and Experiments for Hierarchical Tree Clust... |
PAMI
2008
14 years 9 months ago
2008
Hierarchical clustering is a stepwise clustering method usually based on proximity measures between objects or sets of objects from a given data set. The most common proximity meas...
SDM
2010
SIAM
14 years 11 months ago
2010
SIAM
The k-means algorithm is widely used for clustering, compressing, and summarizing vector data. In this paper, we propose a new acceleration for exact k-means that gives the same a...
CIKM
2000
Springer
15 years 2 months ago
2000
Springer
This paper discusses a new type of semi-supervised document clustering that uses partial supervision to partition a large set of documents. Most clustering methods organizes docum...
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CIKM
2010
Springer
14 years 8 months ago
2010
Springer
Community detection is an important task for mining the structure and function of complex networks. Generally, there are several different kinds of nodes in a network which are c...
INFORMATICALT
2008
14 years 9 months ago
2008
This paper studies an adaptive clustering problem. We focus on re-clustering an object set, previously clustered, when the feature set characterizing the objects increases. We prop...