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Last updated:

September 25, 2023

Duration:

Unlimited Duration

FREE

This course includes:

Unlimited Duration

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Description

Classic and Modern Data Clustering by Marina Meila - Machine Learning Summer School at Purdue, 2011.

Clustering, or finding groups in data, is as old as machine learning itself. However, as more people use clustering in a variety of settings, the last few years we have brought unprecedented developments in this field. This tutorial will survey the most important clustering methods in use today from a unifying perspective, and will then present some of the current paradigms shifts in data clustering.

Course Curriculum

  • Lecture 1 – Paradigms for Clustering, Parametric Clustering Algorithms Unlimited
  • Lecture 2 – Parametric Clustering Algorithms: Model based/soft clustering Unlimited
  • Lecture 3 – Parametric Clustering Algorithms: EM algorithm, Issues in Parametric Clustering Unlimited
  • Lecture 4 – Issues in Parametric Clustering, Non-Parametric Clustering Unlimited
  • Lecture 5 – Non-Parametric Clustering Unlimited
  • Lecture 6 – Similarity based/graph clustering Unlimited
  • Lecture 7 – Cluster Validation Unlimited
  • Lecture 8 – Cluster Validation, Special Topics Unlimited

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