The concept of interrogating similarities within a data set has a long history in fields ranging from medicinal chemistry to image analysis. We define a descriptor as an entropic measure of similarity for an image and the neighborhood of images surrounding it. Differential changes in descriptor values imply differential changes in the structure underlying the images. For example, at the locatio...

Algorithms of agglomerative hierarchical clustering using asymmetric similarity measures are studied. Two different measures between two clusters are proposed, one of which generalizes the average linkage for symmetric similarity measures. Asymmetric dendrogram representation is considered after foregoing studies. It is proved that the proposed linkage methods for asymmetric measures have no re...