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EUROPAR
2001
Springer
14 years 16 days ago
From Cluster Monitoring to Grid Monitoring Based on GRM
GRM was originally designed and implemented as part of the P-GRADE graphical parallel program development environment running on supercomputers and clusters. In the framework of th...
Zoltán Balaton, Péter Kacsuk, Norber...
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
14 years 8 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
SDM
2009
SIAM
152views Data Mining» more  SDM 2009»
14 years 5 months ago
Multiple Kernel Clustering.
Maximum margin clustering (MMC) has recently attracted considerable interests in both the data mining and machine learning communities. It first projects data samples to a kernel...
Bin Zhao, James T. Kwok, Changshui Zhang
BPM
2009
Springer
195views Business» more  BPM 2009»
14 years 2 months ago
Process Mining: Fuzzy Clustering and Performance Visualization
The goal of performance analysis of business processes is to gain insights into operational processes, for the purpose of optimizing them. To intuitively show which parts of the pr...
Boudewijn F. van Dongen, A. Adriansyah
ECML
2004
Springer
14 years 1 months ago
The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering
This work presents a novel procedure for computing (1) distances between nodes of a weighted, undirected, graph, called the Euclidean Commute Time Distance (ECTD), and (2) a subspa...
Marco Saerens, François Fouss, Luh Yen, Pie...