Efficient interactive agglomerative hierarchical clustering algorithm for hyperspectral image processing

Traditional hierarchical clustering algorithms require the calculation of a dissimilarity matrix which is mapped to a binary tree or 'dendogram' based upon some predetermined criterion. Although 'optimally efficient' algorithms requiring O(N2) time and O(N) storage are known for several clustering m... View More