KMeans Clustering using Weka and Java

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Transcript

Okay to do cluster running these are Java or using these are we can we can do something that is public and then static void clustering is stream data and string algorithm and integer number cluster either CO is around or the same as our classification. So, we can do something like this data. So, a new data source data then I instance pay equals sauce okay data Set. So for clustering we do not need to set index. So a algorithm will recommend dot equals algorithm da da equals k means I do something that is simple k means k mean equal new simple. k means k i need to import a class.

So, import the car customer and then this should be the error of try and catch. So, I have to do something, I guess try And then capture text such as System dot out dot print line he has taught guide message okay yes good message hey this one should be here okay. So I will attempt here is simple k means K is some era K cannot face in God as I okay seems to be smarter okay. So after I create a K means object, I can set up properties or set the set now involve cluster to be in about cluster k means view a mean the view cluster okay based on the data and then I can print out a model that came in then I can use these are came in to do my clustering So, it will be the same for integer i equals zero i less than data on the train.

Train bah bah bah instances. Can I cross cross? Okay, then I can do something Id dhaba yeah as labor equal k means cross the instance. And I'm trained in stones. High K system dot out. dot print.

Ly K I cross the T's I can print out cluster I will also want to print out rows. So system dot print line okay train dot instance hi system dot print cluster so I will pull something that is cluster okay. So to use this clustering I can do something like this clustering data use our CPU train data okay then for the algorithm I have k means then for the number of cluster I can pull maybe let's see seven Okay then I can run the code okay. So these are the clustering. So the border clustering essay on data. So the analysis came in some order

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