why is cosine similarity used in clustering how to find cluster similarity between points in r what type of feature is similarity which feature to cluster points with what type of cluster is used for clustering what is similarity of a vector in r which feature is an example of a k-medoid clustering algorithm why i use cosine similarity in clustering how do you cluster features in r what type of feature is similarity what are similarity matrices in r where is the sameity matrix found in r clustering how to cluster vectors what is the difference between cosine similarity and euclidean distance k-menoid clustering definition can u use the same distance or scalar in clustering? why is clustering needed when vector and scalar features are used interchangeably? can one point be clustered based on a scalar what is the similarity matrices which of the following is an example of similarity between different points in r?