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CPHYSICS
2006
182views more  CPHYSICS 2006»
15 years 6 months ago
MinFinder: Locating all the local minima of a function
A new stochastic clustering algorithm is introduced that aims to locate all the local minima of a multidimensional continuous and differentiable function inside a bounded domain. ...
Ioannis G. Tsoulos, Isaac E. Lagaris
ISHPC
2003
Springer
15 years 11 months ago
Online Remote Trace Analysis of Parallel Applications on High-Performance Clusters
The paper presents the design and development of an online remote trace measurement and analysis system. The work combines the strengths of the TAU performance system with that of ...
Holger Brunst, Allen D. Malony, Sameer Shende, Rob...
DMSN
2006
ACM
16 years 9 days ago
Intelligent system monitoring on large clusters
Modern data centers have a large number of components that must be monitored, including servers, switches/routers, and environmental control systems. This paper describes InteMon,...
Jimeng Sun, Evan Hoke, John D. Strunk, Gregory R. ...
ICDM
2008
IEEE
90views Data Mining» more  ICDM 2008»
16 years 23 days ago
Finding Alternative Clusterings Using Constraints
1 The aim of data mining is to find novel and actionable insights. However, most algorithms typically just find a single explanation of the data even though alternatives could e...
Ian Davidson, Zijie Qi
ISNN
2011
Springer
14 years 9 months ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes