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» On Class Visualisation for High Dimensional Data: Exploring ...
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SDM
2008
SIAM
117views Data Mining» more  SDM 2008»
13 years 9 months ago
A Feature Selection Algorithm Capable of Handling Extremely Large Data Dimensionality
With the advent of high throughput technologies, feature selection has become increasingly important in a wide range of scientific disciplines. We propose a new feature selection ...
Yijun Sun, Sinisa Todorovic, Steve Goodison
ALT
2005
Springer
14 years 4 months ago
An Analysis of the Anti-learning Phenomenon for the Class Symmetric Polyhedron
This paper deals with an unusual phenomenon where most machine learning algorithms yield good performance on the training set but systematically worse than random performance on th...
Adam Kowalczyk, Olivier Chapelle
ICDM
2003
IEEE
111views Data Mining» more  ICDM 2003»
14 years 25 days ago
OP-Cluster: Clustering by Tendency in High Dimensional Space
Clustering is the process of grouping a set of objects into classes of similar objects. Because of unknownness of the hidden patterns in the data sets, the definition of similari...
Jinze Liu, Wei Wang 0010
IPPS
1999
IEEE
13 years 11 months ago
Infrastructure for Building Parallel Database Systems for Multi-Dimensional Data
Our study of a large set of scientific applications over the past three years indicates that the processing for multidimensional datasets is often highly stylized. The basic proce...
Chialin Chang, Renato Ferreira, Alan Sussman, Joel...
AUIC
2006
IEEE
14 years 1 months ago
Virtual planning rooms (ViPR): a 3D visualisation environment for hierarchical information
The Future Operations Centre Analysis Laboratory (FOCAL) at Australia’s Defence Science and Technology Organisation (DSTO) is aimed at exploring new paradigms for situation awar...
Michael Broughton