—The concept of green computing has attracted much attention recently in cluster computing. However, previous local approaches focused on saving the energy cost of the components...
Liting Hu, Hai Jin, Xiaofei Liao, Xianjie Xiong, H...
This paper proposes a novel clustering analysis algorithm based on principal component analysis (PCA) and self-organizing maps (SOMs) for clustering the gene expression patterns. T...
This paper presents a novel method aimed to free form deformation
function approximation for purpose of image registration. The
method is currently feature-based. The algorithm i...
Background: DNA microarray technology allows for the measurement of genome-wide expression patterns. Within the resultant mass of data lies the problem of analyzing and presenting...
Meng Piao Tan, Erin N. Smith, James R. Broach, Chr...
: Temporal data mining is concerned with the analysis of temporal data and finding temporal patterns, regularities, trends, clusters in sets of temporal data. Wavelet transform pro...