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Showing posts with the label K Means

How To Cluster With K-means, When Number Of Clusters And Their Sizes Are Known

I'm clustering some data using scikit. I have the easiest possible task: I do know the number o… Read more How To Cluster With K-means, When Number Of Clusters And Their Sizes Are Known

Cannot Change Number Of Clusters In Kmeansclustering Tensorflow

I found this code and it works perfectly. THe idea - split my data and train KMeansClustering on it… Read more Cannot Change Number Of Clusters In Kmeansclustering Tensorflow

K-means In Python: Determine Which Data Are Associated With Each Centroid

I've been using scipy.cluster.vq.kmeans for doing some k-means clustering, but was wondering if… Read more K-means In Python: Determine Which Data Are Associated With Each Centroid

Sklearn: Calculating Accuracy Score Of K-means On The Test Data Set

I am doing k-means clustering on the set of 30 samples with 2 clusters (I already know there are tw… Read more Sklearn: Calculating Accuracy Score Of K-means On The Test Data Set

K-means Using Signature Matrix Generated From Minhash

I have used minhash on documents and their shingles to generate a signature matrix from these docum… Read more K-means Using Signature Matrix Generated From Minhash

Can I Use K-means Algorithm On A String?

I am working on a python project where I study RNA structure evolution (represented as a string for… Read more Can I Use K-means Algorithm On A String?

How To Explain Clustering Results?

Say I have a high dimensional dataset which I assume to be well separable by some kind of clusterin… Read more How To Explain Clustering Results?

Associating Region Index With True Labels

The documentation is somewhat vague about this whereas I would've thought it'd be a pretty … Read more Associating Region Index With True Labels