Clustering structure of the dataset is measured by the divisive coefficient. For each learning example ti, d(i) is defined as the diameter of the last cluster to which it belongs (before being split off as a single observation), divided by the diameter of the whole dataset. The divisive co...
Hierarchical clustering methods, which can be categorized into agglomerative and divisive, have been widely used in such situations. However, unlike agglomerative methods divisive clustering approaches have consistently proved to be computationally expensive. Results: The proposed clustering algorithm (DRAGON)...
clustering problemclustering tree methodkernel method and smoothing parameterSummary This chapter contains sections titled: Introduction Input data: interval data The clustering tree method Example ReferencesEdwin DidayFacultés Universitaires Notre-Dame de la Paix, Faculté d'Informatique, Rue Grandgagnage,...
Average-linkage clustering is a hierarchical clustering method that uses the average proximity of observations between groups as the proximity measure between the two groups. Bayes's theorem. Bayes's theorem states that the probability of an event, , conditional on another event, , is generally ...