Data are clustered and ordered using a hierarchical clustering algorithm to aid with visualization of distinct community structures.

Entropy Minimization is a new clustering algorithm that works with both categorical and numeric data, and scales well to extremely large data sets.

The Data Science Lab Data Clustering Using a Self-Organizing Map (SOM) with C# Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on technique for visualizing and ...

We consider the analysis of clustered data using linear mixed effects models and generalized estimating equations, where covariates can be decomposed into between- and within-cluster components. Under ...

This is a preview. Log in through your library . Abstract This study examines the organization of political attitudes. Using data from the 1980 American National Election Study, it applies the ...