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GECCO
2009
Springer
254views Optimization» more  GECCO 2009»
15 years 10 months ago
Agglomerative genetic algorithm for clustering in social networks
Size and complexity of data repositories collaboratively created by Web users generate a need for new processing approaches. In this paper, we study the problem of detection of ï¬...
Marek Lipczak, Evangelos E. Milios
ICDE
2005
IEEE
104views Database» more  ICDE 2005»
16 years 5 months ago
Practical Data Management Techniques for Vehicle Tracking Data
A novel data source for assessing traffic conditions is floating car data (FCD) in the form of vehicle tracking data, or, in database terms, trajectory data. This work proposes pr...
Sotiris Brakatsoulas, Dieter Pfoser, Nectaria Tryf...
127
Voted
COMPLIFE
2005
Springer
15 years 9 months ago
Robust Perron Cluster Analysis for Various Applications in Computational Life Science
In the present paper we explain the basic ideas of Robust Perron Cluster Analysis (PCCA+) and exemplify the different application areas of this new and powerful method. Recently, ...
Marcus Weber, Susanna Kube
138
Voted
PDPTA
2000
15 years 5 months ago
Performance Analysis of a Cluster File System
Design of cluster file system is very important for building a general-purpose cluster with commodity components. To provide scalable high I/O performance needed in the scientific...
Cong Du, Zhiwei Xu
206
Voted
ICML
2004
IEEE
16 years 4 months ago
K-means clustering via principal component analysis
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
Chris H. Q. Ding, Xiaofeng He