In several contexts and domains, hierarchical agglomerative clustering (HAC) offers best-quality results, but at the price of a high complexity which reduces the size of datasets ...
We present a novel algorithm called CLICKS, that finds clusters in categorical datasets based on a search for kpartite maximal cliques. Unlike previous methods, CLICKS mines subs...
Density-based clustering algorithms have recently gained popularity in the data mining field due to their ability to discover arbitrary shaped clusters while preserving spatial pr...
M. Emre Celebi, Y. Alp Aslandogan, Paul R. Bergstr...
We present a hybrid BIST approach that extracts the most frequently occurring sequences from deterministic test patterns; these extracted sequences are stored on-chip. We use clus...
Adaptive Hierarchical Clustering Algorithm (AHCA) maps a flat topology to a hierarchical tree though output trees are incontrollable and are not suitable for multimedia. PruneRel...