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Minimum Spanning Trees also play a role in the area of clustering.

The Problem. Clustering happens when one has a collection of objects such as a set of documents that one is trying to organize into a coherent group. It is important to find the similarityies between each pair of objects. One way to define similarities is by using a distance function on the objects with an interpretation that objects at a larger distance from one another are less similar to each other. But what do we mean by distance??? Distance could mean a variety of things but in our case, distance will help us cluster objects “closer” to each other together and put those “far apart” in different groups. Clustering of Maximum Spacing. Minmum Spanning trees play a role in cases where we are given a set of n objects whose distance between any two objects is positive and symmetric. How possible is it to divide the objects into k groups, where k is the minimum distance between any pair of points?? Our goal is to seek k clusters or groups of objects with the maximum possible spacing. Our next question involves finding a most efficient k-clustering with the maximum spacing. Designing the Algorithm. We start by considering growing a

courses/cs211/winter2014/journals/fred/4.7_clustering.1393974523.txt.gz · Last modified: 2014/03/04 23:08 by gisaf
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