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Imran Younus commented on SPARK-12703: -------------------------------------- PR stands for pull request. > Spark KMeans Documentation Python Api > ------------------------------------- > > Key: SPARK-12703 > URL: https://issues.apache.org/jira/browse/SPARK-12703 > Project: Spark > Issue Type: Documentation > Components: MLlib > Reporter: Anton > Priority: Minor > Original Estimate: 5m > Remaining Estimate: 5m > > In the documentation of Spark's Kmeans - Python api: > http://spark.apache.org/docs/latest/mllib-clustering.html#k-means > the cost of the final result is calculated using the 'error()' function where > its returning: > {quote} > return sqrt(sum([x**2 for x in (point - center)])) > {quote} > As I understand, it's wrong to use sqrt() and it should be omitted: > {quote} return sum([x**2 for x in (point - center)]).{quote} > Please refer to : > https://en.wikipedia.org/wiki/K-means_clustering#Description > Where you can see that the power is canceling the square. > What do you think? It's minor but wasted me a few min to understand why the > result isn't what I'm expecting. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org