This article discusses the use of cluster analysis in family psychology research. It provides
an overview of potential clustering methods, the steps involved in cluster analysis …

Clustering algorithms have become one of the most critical research areas in multiple
domains, especially data mining. However, with the massive growth of big data applications …

We consider the problem of determining the structure of clustered data, without prior
knowledge of the number of clusters or any other information about their composition. Data …

The geodynamic context of formation of the Archaean continental crust is a matter of debate.
The crust is largely made of grey gneiss complexes, a composite rock assemblage …

Hydrologic similarity between catchments, derived from similarity in how catchments
respond to precipitation input, is the basis for catchment classification, for transferability of …

We describe AutoClass, an approach to unsupervised classi cation based upon the classical
mixture model, supplemented by a Bayesian method for determining the optimal classes …

Knowledge discovery in databases is a rapidly growing field, whose development is driven
by strong research interests as well as urgent practical, social, and economical needs. While …

Treating VB approximation in signal processing, this monograph is for academic and
industrial research groups in signal processing, data analysis, machine learning and …

This work summarizes theoretical and algorithmic basis of optimized probabilistic advising. It
has arisen within a series of targeted research projects supported European Commission …

In recent decades the developmental systems perspective has grown increasingly influential
in the behavioral sciences. Richard Lerner (1998) observed that this perspective is actually …