The algorithm update is just broken into 2 steps: trainOn - to learn/update
the cluster centers, and predictOn - predicts cluster assignment on data
The StreamingKMeansExample you reference breaks up data into training and
test because you might want to score the predictions. If you don't care
ab
Dear All,
I was wondering why there is training data and testing data in kmeans ?
Shouldn't it be unsupervised learning with just access to stream data ?
I found similar question but couldn't understand the answer.
http://stackoverflow.com/questions/30972057/is-the-streaming-k-means-clustering-pr
