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PAKDD
2009
ACM
209views Data Mining» more  PAKDD 2009»
15 years 10 months ago
Approximate Spectral Clustering.
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...
CSMR
2006
IEEE
15 years 7 months ago
Using Version Information in Architectural Clustering - A Case Study
This paper describes a case study that uses clustering to group classes of an existing objectoriented system of significant size into subsystems. The clustering process is based o...
Andreas Wierda, Eric Dortmans, Lou J. Somers
DAWAK
2004
Springer
15 years 7 months ago
Categorical Data Visualization and Clustering Using Subjective Factors
Clustering is an important data mining problem. However, most earlier work on clustering focused on numeric attributes which have a natural ordering to their attribute values. Rec...
Chia-Hui Chang, Zhi-Kai Ding
CLUSTER
2003
IEEE
15 years 6 months ago
From Clusters to the Fabric: The Job Management Perspective
Clusters provide an outstanding cost/performance ratio, but their efficient orchestration, i.e. their cooperative management, maintenance, and use, still poses difficulties. Mor...
Thomas Röblitz, Florian Schintke, Alexander R...
IDA
1999
Springer
15 years 5 months ago
Discovering Dynamics Using Bayesian Clustering
Abstract. This paper introduces a Bayesian method for clustering dynamic processes and applies it to the characterization of the dynamics of a military scenario. The method models ...
Paola Sebastiani, Marco Ramoni, Paul R. Cohen, Joh...