Difference between revisions of "Clustering"
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Revision as of 00:03, 7 February 2011
This is a technical method discussed in Social Media Analysis 10-802 in Spring 2010.
What problem does it address
Clustering refers to creating multiple group of elements which exhibit similar properties in the attribute values. This group of elements which have comparable value for different attributes for a domain is called a cluster.
Algorithm
- Input -
d : data instances
a : data attributes
dFunc : distance function
- Output - c : cluster of data instances
Used in
This technique is widely used practice. e.g clustering of similar documents, summarization etc.
