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Introduction to Clustering
 
Introduction to Clustering
 
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A [https://www.projectrhea.org/learning/slectures.php slecture] by CS student David Runyan
 
A [https://www.projectrhea.org/learning/slectures.php slecture] by CS student David Runyan
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=Introduction=
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In class, we covered various forms of supervised learning, learning using training data. Clustering, on the other hand is a form of unsupervised learning. We are not given a training set, yet wish to discover some form of underling structure in a dataset.
  
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[[2014_Spring_ECE_662_Boutin|Back to ECE662, Spring 2014]]
 
[[2014_Spring_ECE_662_Boutin|Back to ECE662, Spring 2014]]

Revision as of 16:43, 5 May 2014


Introduction to Clustering A slecture by CS student David Runyan


Introduction

In class, we covered various forms of supervised learning, learning using training data. Clustering, on the other hand is a form of unsupervised learning. We are not given a training set, yet wish to discover some form of underling structure in a dataset.




Back to ECE662, Spring 2014

Alumni Liaison

Ph.D. on Applied Mathematics in Aug 2007. Involved on applications of image super-resolution to electron microscopy

Francisco Blanco-Silva