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DAGM
2008
Springer
13 years 6 months ago
Boosting for Model-Based Data Clustering
In this paper a novel and generic approach for model-based data clustering in a boosting framework is presented. This method uses the forward stagewise additive modeling to learn t...
Amir Saffari, Horst Bischof
COLING
2002
13 years 4 months ago
A Method of Cluster-Based Indexing of Textual Data
This paper presents a framework for clustering in text-based information retrieval systems. The prominent feature of the proposed method is that documents, terms, and other relate...
Akiko N. Aizawa
SOCIALCOM
2010
13 years 2 months ago
Measuring Similarity between Sets of Overlapping Clusters
The typical task of unsupervised learning is to organize data, for example into clusters, typically disjoint clusters (eg. the K-means algorithm). One would expect (for example) a...
Mark K. Goldberg, Mykola Hayvanovych, Malik Magdon...
CLUSTER
2002
IEEE
13 years 9 months ago
COMB: A Portable Benchmark Suite for Assessing MPI Overlap
This paper describes a portable benchmark suite that assesses the ability of cluster networking hardware and software to overlap MPI communication and computation. The Communicati...
William Lawry, Christopher Wilson, Arthur B. Macca...