Spark MLlib KMeansModel provides "computeCost" function which return the sum of squared distances of points to their nearest center as the k-means cost on the given dataset.
Thanks Yanbo 2016-07-24 17:30 GMT-07:00 janardhan shetty <janardhan...@gmail.com>: > Hi, > > I was trying to evaluate k-means clustering prediction since the exact > cluster numbers were provided before hand for each data point. > Just tried the Error = Predicted cluster number - Given number as brute > force method. > > What are the evaluation metrics available in Spark for K-means clustering > validation to improve? >
