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Machine Learning II 2018/19 spring

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X. Model-based clustering techniques

Given by Sven Laur

Brief summary: Phylogenetic trees and hierarchical clustering. Independent mutation model. Hard clustering techniques. K-means clustering as a maximum likelihood estimate. Gaussian mixture model as a generalisation of k-means algorithm. Corresponding hard clustering algorithms.

Slides: PDF

Video: UTTV(2016) UTTV (2015) UTTV (2014)

Literature:

  • Bishop: Pattern Recognition and Machine Learning pages 423 - 448

Complementary exercises:

  • Bishop: Pattern Recognition and Machine Learning pages 455 - 459
  • Practical clustering tasks:
    • Discretisation of continuous variables, such as height and weight or gene expression
    • Finding relations between such discretised signals

Free implementations:

  • Mclust package in R
  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
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