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
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.
