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» Evaluation of Clusterings - Metrics and Visual Support
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VDA
2010
169views Visualization» more  VDA 2010»
15 years 4 months ago
Techniques for precision-based visual analysis of projected data
The analysis of high-dimensional data is an important, yet inherently difficult problem. Projection techniques such as PCA, MDS, and SOM can be used to map high-dimensional data t...
Tobias Schreck, Tatiana von Landesberger, Sebastia...
ICPP
2009
IEEE
14 years 11 months ago
Thread Merging Schemes for Multithreaded Clustered VLIW Processors
Several multithreading techniques have been proposed to reduce the resource underutilization in Very Long Instruction Word (VLIW) processors. Simultaneous MultiThreading (SMT) is ...
Manoj Gupta, Fermín Sánchez, Josep L...
IPPS
2007
IEEE
15 years 8 months ago
High Performance Java Sockets for Parallel Computing on Clusters
The use of Java for parallel programming on clusters relies on the need of efficient communication middleware and high-speed cluster interconnect support. Nevertheless, currently...
Guillermo L. Taboada, Juan Touriño, Ramon D...
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
16 years 2 months ago
Visualized Classification of Multiple Sample Types
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
Li Zhang, Aidong Zhang, Murali Ramanathan
TMI
2002
143views more  TMI 2002»
15 years 1 months ago
A Support Vector Machine Approach for Detection of Microcalcifications
In this paper, we investigate an approach based on support vector machines (SVMs) for detection of microcalcification (MC) clusters in digital mammograms, and propose a successive ...
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Niko...