Clustering validation indexes are intended to assess the goodness of clustering results. Many methods used to estimate the number of clusters rely on a validation index as a key element to find the correct answer. This paper ...

This thesis addresses the spatial and space-time cluster detection problem. Two algorithms to solve the typical problem for spatial data sets are proposed. A fast method for the detection and inference of point data set ...

Irregularly shaped spatial disease clusters occur commonly in epidemiological studies, but their geographic delineation is poorly defined. Most current spatial scan software usually displays only one of the many possible ...

Background: The search for cluster structure in microarray datasets is a base problem for the so-called “-omic sciences”. A difficult problem in clustering is how to handle data with a manifold structure, i.e. data that ...

In the present work we introduce the Mean Shift Clustering (MSC) algorithm as a valuable alternative to perform materials phase classification from hyperspectral images. As opposed to other multivariate statistical ...

Situations that generate a continuous data stream under a changing environment, such as TCP / IP traffic, e-commerce, and industrial monitoring, can make the usability of offline algorithms for machine learning infeasible. ...