Cluster analysis divides data into subsections that are meaningful and useful. This is an important tool in the social sciences, biology, statistics, pattern recognition and, now, marketing.

Course TopicsCluster analysis is a number of different algorithms and techniques for grouping objects sharing similar characteristics. Researchers in many areas face problems such as how to organize ...

This paper reports a Bayesian approach for the automatic identification of the optimal clustering proposal in the analysis of single-molecule localization-based super-resolution data.

Cluster analysis uses numerical methods to divide a group of units into homogeneous subgroups. Various methods of Cluster Analysis - Single Linkage, Average Linkage, Double Linkage and the k-means ...

Multivariate analysis techniques may be used for several purposes, such as dimension reduction, clustering, or classification. The primary goal of this short course is to help researchers who want to ...

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 ...

The study, “Using Artificial Intelligence to Determine the Impact of E-Commerce on the Digital Economy,” builds a fused indicator matrix spanning ICT infrastructure, payments, trade and logistics, ...