17390 search results - page 350 / 3478 » Distributed Data Clustering |
150
Voted
ICML
2006
IEEE
16 years 5 months ago
2006
IEEE
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
227
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PRICAI
2010
Springer
15 years 3 months ago
2010
Springer
Manifold clustering, which regards clusters as groups of points around compact manifolds, has been realized as a promising generalization of traditional clustering. A number of lin...
144
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ICML
2000
IEEE
16 years 5 months ago
2000
IEEE
Clustering algorithms conduct a search through the space of possible organizations of a data set. In this paper, we propose two types of instance-level clustering constraints ? mu...
137
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KDD
2005
ACM
16 years 5 months ago
2005
ACM
We propose a hybrid, unsupervised document clustering approach that combines a hierarchical clustering algorithm with Expectation Maximization. We developed several heuristics to ...
136
Voted
PAKDD
2009
ACM
15 years 9 months ago
2009
ACM
We propose a new method, called SimClus, for clustering with lower bound on similarity. Instead of accepting k the number of clusters to find, the alternative similarity-based app...