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136
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KDD
2009
ACM
16 years 5 months ago
2009
ACM
Algorithms based on simulating stochastic flows are a simple and natural solution for the problem of clustering graphs, but their widespread use has been hampered by their lack of...
192
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CSIE
2009
IEEE
15 years 9 months ago
2009
IEEE
K-means algorithm is one of the most famous unsupervised clustering algorithms. Many theoretical improvements for the performance of original algorithms have been put forward, whi...
165
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ICCV
2009
IEEE
15 years 2 months ago
2009
IEEE
This paper investigates a new learning formulation called dynamic group sparsity. It is a natural extension of the standard sparsity concept in compressive sensing, and is motivat...
221
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ICDE
1999
IEEE
16 years 6 months ago
1999
IEEE
Clustering partitions a collection of objects into groups called clusters, such that similar objects fall into the same group. Similarity between objects is defined by a distance ...
132
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AIRS
2004
Springer
15 years 10 months ago
2004
Springer
This paper presents a novel algorithm for document clustering based on a combinatorial framework of the Principal Direction Divisive Partitioning (PDDP) algorithm [1] and a simpli...