Re: [scikit-learn] Clustering Algorithm based on correlation distance

Using correlation as a similarity measure leads to some problems with k-means (mainly because the arithmetic mean is not at all an estimator that can be used with correlation). If you properly normalized the correlation DBSCAN might be an alternative. The minpts parameter will still have the same

Re: [scikit-learn] Clustering Algorithm based on correlation distance

Thank you Mr.Mueller Can you share any example sentence? I searched but found this link https://stackoverflow.com/questions/24560799/how-to-use-a-precomputed-distance-matrix-in-scikit-kmeans which says one cannot supply precomputed distance matric. the one kmean calculate precomputed matric that's

Re: [scikit-learn] Clustering Algorithm based on correlation distance

There are many that allow "metric='precomputed'". On 9/2/19 10:06 AM, Safi Ullah Marwat wrote: Dear List, Is there any clustering algorithm, which is based on correlation coefficient instead of Euclidean/Manhattan distance? Regards ___ scikit-lear