Perform Dbscan Clustering and K means

I have a simple array of data. I need to perform dbscan clustering and k means based on the values in the array.detailed description  below:

Array values are:

int[] numbers = { 28, 26, 27, 29, 26, 22, 27, 28, 28, 22, 28, 26, 27, 00, 30, 27, 25, 25, 29, 27, 26, 28, 29, 32, 26, 19, 28, 30, 33, 32, 00, 30, 30, 32, 28, 31, 30, 30, 29, 28, 33, 19, 18, 30, 32, 32, 25, 31, 31, 29, 29, 30, 28, 28 };

these values are actually in a table which looks like this:

I just need clusters of the array..

1) For DBSCAN: minimum points to form cluster: 2, the difference between two values(epsilon value) can be either 1 or 2(user entered). Clustering here is not based on distances.. Just difference between values. The above diagram is sample of DBSCAN clusters that I need.. I don't  want them in diagram as I have done already the webpage.. just need algorithm for clusters

Material:  In this case clustering is done on points, similarly  I need on  array values specified above. thanks

2) For kmeans the k=4,  starting each cluster  with each quadrant above...

Material: I came across many clustering code, but any code will be fine for me..

Posted Date: 2/15/2013 1:20:18 AM | Location : United States

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