what is k mean clustering algorithm why doesn't clustering use cosine similarity as a distance what is k means clustering algorithm why does k mean clustering algorithm use only cosine similarity what distance algorithm is used for k mean clustering which metric is used during euclidean distance analysis why does k mean clustering algorithm use only cosine similarity why does k mean clustering algorithm use only euclidean distance metric? why does k mean clustering why does clustering use only ecudean distance metric what are the distances in clustered clustering algorithms why does k mean clustering how does clustering algorithm work why does k mean clustering algorithms use only euclidean distance metric is k-means clustering efficient? what metric does clustering use which metric is used to cluster k? which distance metric is used in clustering what is the k means clustering? why is the k median algorithm only euclidean distance metric used?