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NIPS
2004
13 years 6 months ago
Self-Tuning Spectral Clustering
We study a number of open issues in spectral clustering: (i) Selecting the appropriate scale of analysis, (ii) Handling multi-scale data, (iii) Clustering with irregular backgroun...
Lihi Zelnik-Manor, Pietro Perona
CCGRID
2009
IEEE
13 years 11 months ago
Self-Tuning Virtual Machines for Predictable eScience
— Unpredictable access to batch-mode HPC resources is a significant problem for emerging dynamic data-driven applications. Although efforts such as reservation or queue-time pred...
Sang-Min Park, Marty Humphrey
JSSPP
2004
Springer
13 years 10 months ago
Enhancements to the Decision Process of the Self-Tuning dynP Scheduler
The self-tuning dynP scheduler for modern cluster resource management systems switches between different basic scheduling policies dynamically during run time. This allows to reac...
Achim Streit
ICML
2010
IEEE
13 years 3 months ago
Multiple Non-Redundant Spectral Clustering Views
Many clustering algorithms only find one clustering solution. However, data can often be grouped and interpreted in many different ways. This is particularly true in the high-dim...
Donglin Niu, Jennifer G. Dy, Michael I. Jordan
EPIA
2011
Springer
12 years 4 months ago
Thematic Fuzzy Clusters with an Additive Spectral Approach
This paper introduces an additive fuzzy clustering model for similarity data as oriented towards representation and visualization of activities of research organizations in a hiera...
Susana Nascimento, Rui Felizardo, Boris Mirkin