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courses:cs211:winter2011:journals:wendy:chapter4 [2011/03/01 00:50] โ€“ [Section 7: Clustering] shangwcourses:cs211:winter2011:journals:wendy:chapter4 [2011/03/01 00:51] โ€“ [Section 7: Clustering] shangw
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 This section talks about another problem-Clustering-and how to solve it with greedy algorithm. Clustering (of maximum spacing) can be precisely described as partitioning a collection of objects U such that the maximum possible spacing s achieved (That is, the minimum distance between any pair of points lying in different clusters is minimized).  This section talks about another problem-Clustering-and how to solve it with greedy algorithm. Clustering (of maximum spacing) can be precisely described as partitioning a collection of objects U such that the maximum possible spacing s achieved (That is, the minimum distance between any pair of points lying in different clusters is minimized). 
  
-The alogrithm is exactly the Kruskal's algorithm except that we stop it just before adding the last k-1th edge. +The algorithm is exactly the Kruskal's algorithm except that we stop it just before adding the last k-1th edge. Basically, it is constructing the minimum spanning tree without the k-1 most weighted edges
courses/cs211/winter2011/journals/wendy/chapter4.txt ยท Last modified: 2011/03/02 04:59 by shangw
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