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