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Discipline Module 2 · Descriptive Data Analysis

Unsupervised Learning

Professor
Alexandre Magno
Workload
15h
Syllabus

Techniques for summarizing multivariate data: principal component analysis, factor analysis, and discriminant analysis. Multivariate analysis of variance. Cluster analysis: K-means, DBSCAN, Gaussian Mixture Models, and Hierarchical Clustering.

Content
  • Techniques for summarizing multivariate data: principal component analysis, factor analysis, and discriminant analysis
  • Multivariate analysis of variance
  • Cluster analysis: K-means, DBSCAN, Gaussian Mixture Models, and Hierarchical Clustering
Core Bibliography
  • Dillon, W. R., Goldstein, M. Multivariate Analysis Methods and Application. New York: John Wiley, 1984.
  • Mingoti, S. A. Análise de dados através de métodos de estatística multivariada: Uma abordagem aplicada. 1. ed. Belo Horizonte: UFMG, 2007. 297 p. ISBN 978-857041-451-9.
  • Han, J., Kamber, M.; Pei, J. Data Mining: Concepts and Techniques. Morgan Kaufmann, 2011.
  • Witten, I. H., Frank, E., Hall, M. A. Data Mining: Practical Machine Learning Tools and Techniques. 3a edição Elsevier Science & Technology, 2011.
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