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» Initialization of Iterative Refinement Clustering Algorithms
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KDD
1998
ACM
95views Data Mining» more  KDD 1998»
13 years 11 months ago
Initialization of Iterative Refinement Clustering Algorithms
Usama M. Fayyad, Cory Reina, Paul S. Bradley
KDD
2005
ACM
135views Data Mining» more  KDD 2005»
14 years 7 months ago
A hybrid unsupervised approach for document clustering
We propose a hybrid, unsupervised document clustering approach that combines a hierarchical clustering algorithm with Expectation Maximization. We developed several heuristics to ...
Mihai Surdeanu, Jordi Turmo, Alicia Ageno
ICIP
2009
IEEE
13 years 5 months ago
Precise head segmentation on arbitrary backgrounds
We propose a method for segmentation of frontal human portraits from arbitrary unknown backgrounds. Semantic information is used to project the face into a normalized reference fr...
David C. Schneider, Benjamin Prestele, Peter Eiser...
SIGIR
2002
ACM
13 years 7 months ago
Document clustering with cluster refinement and model selection capabilities
In this paper, we propose a document clustering method that strives to achieve: (1) a high accuracy of document clustering, and (2) the capability of estimating the number of clus...
Xin Liu, Yihong Gong, Wei Xu, Shenghuo Zhu
ICPR
2010
IEEE
13 years 5 months ago
On Dynamic Weighting of Data in Clustering with K-Alpha Means
Although many methods of refining initialization have appeared, the sensitivity of K-Means to initial centers is still an obstacle in applications. In this paper, we investigate a...
Sibao Chen, Haixian Wang, Bin Luo