Which three conditions can you use?

You are performing clustering by using the K-means algorithm.

You need to define the possible termination conditions.

Which three conditions can you use? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
A . A fixed number of iterations is executed.
B . The residual sum of squares (RSS) rises above a threshold.
C . The sum of distances between centroids reaches a maximum.
D . The residual sum of squares (RSS) falls below a threshold.
E . Centroids do not change between iterations.

Answer: ADE

Explanation:

Reference:

https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/k-means-clustering

https://nlp.stanford.edu/IR-book/html/htmledition/k-means-1.html

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