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k-means is a method to partition data into clusters by finding a specified number of means, k, s.t. when data are assigned to clusters w/ the nearest mean, the w/i cluster sum of squares is minimized
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What algorithm should I use to cluster a huge binary dataset into few categories?
You are asking the right question. And you can use kmeans!!! Despite what you may be told by some, you absolutely can cluster with kmeans. There is nothing about binary data that will cause kmeans …