This matrix will be symmetric matrix. Since we want to merge the two closest datapoints, we will find the minimum distance and we will merge the 2 clusters updating the clusters distance from all ...

Once the polypeptide chains destined for clustering have been specified, a pairwise CA distance matrix for each chain is produced. Distance difference matrices are then generated, again, pairwise but ...

The cluster() function calls helpers initialize(), update_clustering() and update_means(). Function update_clustering() calls function distance(). Distances and Means To understand the k-mean ...

An idealized clustering algorithm seeks to learn a cluster-adjacency matrix such that, if two data points belong to the same cluster, the corresponding entry would be 1; otherwise, the entry would be ...