Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.

By using a continuous density function to model these point sets, discrete optimization problems can be potentially converted to continuous optimization problems, and since the latter is easier to ...

Linear mixed models are emerging as the method of choice for association testing in genome-wide association studies (GWAS) because they account for both population stratification and cryptic ...