Binary Sine Cosine Algorithms for Feature Selection from Medical Data

Feature selection algorithms for CGH data

Comparative Genomic Hybridization (CGH), when combined with microarray technology, measures copy number alterations (gains or losses of DNA segments) of a large number of genomic intervals. Selecting a small number of discriminative intervals from these genomic intervals is an important problem, known as feature selection, for accurate classification of CGH data. An important aspect of CGH data...

Discrete cosine and sine transforms - regular algorithms and pipeline architectures

In this paper, regular fast algorithms for discrete cosine transform (DCT) and discrete sine transform (DST) of types II–IV are proposed and mapped onto pipeline architectures. The algorithms are based on the factorization of transform matrices described earlier by Wang. The regular structures of the algorithms are advantageous when mapping them onto hardware although such algorithms do not rea...

Data Visualization and Feature Selection: New Algorithms for Nongaussian Data

Data visualization and feature selection methods are proposed based on the )oint mutual information and ICA. The visualization methods can find many good 2-D projections for high dimensional data interpretation, which cannot be easily found by the other existing methods. The new variable selection method is found to be better in eliminating redundancy in the inputs than other methods based on s...

Genetic Algorithms for Feature Selection

Discrete Cosine and Sine Transforms