(New page: Category:slecture Category:ECE662Spring2014Boutin Category:ECE Category:ECE662 Category:pattern recognition <center><font size= 4> Introduction to Clustering </font...) |
|||
Line 8: | Line 8: | ||
Introduction to Clustering | Introduction to Clustering | ||
</font size> | </font size> | ||
− | |||
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 | ||
+ | </center> | ||
+ | |||
+ | ---- | ||
+ | <center> | ||
+ | =Introduction= | ||
+ | </center> | ||
+ | |||
+ | 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. | ||
+ | ---- | ||
---- | ---- | ||
---- | ---- | ||
[[2014_Spring_ECE_662_Boutin|Back to ECE662, Spring 2014]] | [[2014_Spring_ECE_662_Boutin|Back to ECE662, Spring 2014]] |
Revision as of 15:43, 5 May 2014
Introduction to Clustering
A slecture by CS student David RunyanIntroduction
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.