The Practice of Cluster Analysis

Abstracts "Mixtures at the Interface" David Scott, Rice University Mixture modeling provides an effective framework for complex, high-dimensional data. The potential of mixture models is still largely untapped. This talk considers a number of applications and results for gaussian mixtures. "The Practice of Cluster Analysis" Jon Kettenring, Drew University Cluster analysis is one of the main methodologies for analyzing multivariate data. While not as neat and tidy as other methods, such as principal components analysis or discriminant analysis, its use is widespread and growing rapidly. The goal of the talk is to document this growth, characterize current usage, provide examples of recent applications, and highlight both good and risky practices. The presentation is based on evidence extracted from database searches and literature reviews covering the years 1995-2004. It will conclude with discussion of several areas where advances in research could have a large impa...

• Type: Journal
• Year: 2006
• Where: CLASSIFICATION
• Authors: Jon R. Kettenring
• Keywords: Bayesian Model Averaging, CLASSIFICATION 2006, Cluster Analysis, Model