—Normalization before clustering is often needed for proximity indices, such as Euclidian distance, which are sensitive to differences in the magnitude or scales of the attribute...
In comparing genomic maps, it is often difficult to distinguish mapping errors and incorrectly resolved paralogies from genuine rearrangements of the genomes. A solution to this ...
Vicky Choi, Chunfang Zheng, Qian Zhu, David Sankof...
Background: Overfitting the data is a salient issue for classifier design in small-sample settings. This is why selecting a classifier from a constrained family of classifiers, on...
Jianping Hua, James Lowey, Zixiang Xiong, Edward R...
The concept of dominance has recently attracted much interest in the context of skyline computation. Given an Ndimensional data set S, a point p is said to dominate q if p is bett...
Cuiping Li, Beng Chin Ooi, Anthony K. H. Tung, Sha...
Design documents can be exchanged in business-tobusiness networks through Product Data Management (PDM) system integration. This rarely used approach provides new possibilities fo...