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» Dynamic Cluster Formation Using Level Set Methods
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BMCBI
2006
149views more  BMCBI 2006»
13 years 8 months ago
HeatMapper: powerful combined visualization of gene expression profile correlations, genotypes, phenotypes and sample characteri
Background: Accurate interpretation of data obtained by unsupervised analysis of large scale expression profiling studies is currently frequently performed by visually combining s...
Roel G. W. Verhaak, Mathijs A. Sanders, Maarten A....
DATAMINE
2006
176views more  DATAMINE 2006»
13 years 8 months ago
A Bit Level Representation for Time Series Data Mining with Shape Based Similarity
Clipping is the process of transforming a real valued series into a sequence of bits representing whether each data is above or below the average. In this paper, we argue that clip...
Anthony J. Bagnall, Chotirat (Ann) Ratanamahatana,...
ICPP
1996
IEEE
14 years 23 days ago
Mechanisms for Mapping High-Level Parallel Performance Data
A primary problem in the performance measurement of high-level parallel programming languages is to map lowlevel events to high-level programming constructs. We discuss several as...
R. Bruce Irvin, Barton P. Miller
CLUSTER
2002
IEEE
14 years 1 months ago
Supermon: A High-Speed Cluster Monitoring System
Supermon is a flexible set of tools for high speed, scalable cluster monitoring. Node behavior can be monitored much faster than with other commonly used methods (e.g., rstatd). ...
Matthew J. Sottile, Ronald Minnich
PR
2006
122views more  PR 2006»
13 years 8 months ago
Fast multiscale clustering and manifold identification
We present a novel multiscale clustering algorithm inspired by algebraic multigrid techniques. Our method begins with assembling data points according to local similarities. It us...
Dan Kushnir, Meirav Galun, Achi Brandt