Big Data Course - Clustering in General. Spring 2014 Unit 20 Lesson 5. MOOC - Unit 16 Lesson 5.
Channel: Digital Science Center Courses
Date: 2013-09-06

Lesson Overview:
The two different applications of clustering are described. First find geometrically distinct regions and secondly divide spaces into geometrically compact regions that may have no ''thin air'' between them. Generalizations such as mixture models and latent factor methods are just mentioned. The important distinction between applications in vector spaces and those where only inter-point distances are defined is described. Examples are then given using PlotViz from 2D clustering of a mass spectrometry example and the results of clustering genomic data mapped into 3D with Multi Dimensional Scaling MDS.

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