Clustering problems (including the clustering of individuals into outcrossing populations, hybrid generations, full-sib families and selfing lines) have recently received much attention in population ...

In model-based clustering of complex data, a probability model, typically a finite mixture probability model, forms the basis of the distance measure between any pair of clusters. The idea of ...

Clustering algorithms are used to generate clusters of elements having similar characteristics. Among the different groups of clustering algorithms, agglomerative algorithm is widely used in the ...

Our ability to gather genome-wide expression data has far outstripped the ability of our puny human brains to process the raw data. We can distill the data down to a more comprehensible level by ...

Multivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variable under consideration. Multivariate analysis techniques may be used for several ...