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132
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ICDM
2007
IEEE
179views Data Mining» more  ICDM 2007»
15 years 9 months ago
GDClust: A Graph-Based Document Clustering Technique
This paper introduces a new technique of document clustering based on frequent senses. The proposed system, GDClust (Graph-Based Document Clustering) works with frequent senses ra...
M. Shahriar Hossain, Rafal A. Angryk
102
Voted
ICRA
2007
IEEE
126views Robotics» more  ICRA 2007»
15 years 9 months ago
Incremental Spectral Clustering and Its Application To Topological Mapping
Abstract— This paper presents a novel use of spectral clustering algorithms to support cases where the entries in the affinity matrix are costly to compute. The method is increm...
Christoffer Valgren, Tom Duckett, Achim J. Lilient...
124
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CLUSTER
2002
IEEE
15 years 8 months ago
An Extensible, Portable, Scalable Cluster Management Software Architecture
This paper describes an object-oriented software architecture for cluster integration and management that enables extensibility, portability, and scalability. This architecture ha...
James H. Laros III, Lee Ward, Nathan W. Dauchy, Ro...
WCRE
2002
IEEE
15 years 8 months ago
Applying Spectral Methods to Software Clustering
The application of spectral methods to the software clustering problem has the advantage of producing results that are within a known factor of the optimal solution. Heuristic sea...
Ali Shokoufandeh, Spiros Mancoridis, Matthew Mayco...
KDD
2005
ACM
118views Data Mining» more  KDD 2005»
16 years 3 months ago
On the use of linear programming for unsupervised text classification
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
Mark Sandler