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» A Distance-Based Packing Method for High Dimensional Data
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SADM
2010
173views more  SADM 2010»
13 years 2 months ago
Data reduction in classification: A simulated annealing based projection method
This paper is concerned with classifying high dimensional data into one of two categories. In various settings, such as when dealing with fMRI and microarray data, the number of v...
Tian Siva Tian, Rand R. Wilcox, Gareth M. James
BMCBI
2010
122views more  BMCBI 2010»
13 years 7 months ago
Ovarian cancer classification based on dimensionality reduction for SELDI-TOF data
Background: Recent advances in proteomics technologies such as SELDI-TOF mass spectrometry has shown promise in the detection of early stage cancers. However, dimensionality reduc...
Kai-Lin Tang, Tong-Hua Li, Wen-Wei Xiong, Kai Chen
APCCAS
2006
IEEE
268views Hardware» more  APCCAS 2006»
14 years 1 months ago
A One-Dimensional Technique for Embedding Data in A JPEG Color Image
—A method of embedding data in a JPEG color image for applications such as authentication of an employee carrying a picture identification card is described. Embedding of data, s...
Kaliappan Gopalan
ECEASST
2010
13 years 5 months ago
Self Organized Swarms for cluster preserving Projections of high-dimensional Data
: A new approach for topographic mapping, called Swarm-Organized Projection (SOP) is presented. SOP has been inspired by swarm intelligence methods for clustering and is similar to...
Alfred Ultsch, Lutz Herrmann
CIKM
2003
Springer
14 years 24 days ago
Dimensionality reduction using magnitude and shape approximations
High dimensional data sets are encountered in many modern database applications. The usual approach is to construct a summary of the data set through a lossy compression technique...
Ümit Y. Ogras, Hakan Ferhatosmanoglu