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Hierarchical clustering algorithm is a very important method in data mining. The disadvantage of hierarchical clustering lies in the time complexity of the algorithm and the one-way irreversibility of ...

This is a python implementation of the Bayesian Hierarchical Clustering algorithm proposed by Heller & Ghahramani (2005). HELLER, Katherine A.; GHAHRAMANI, Zoubin.

Clustering algorithms are used to generate clusters of elements having similar characteristics. Among the different groups of clustering algorithms, agglomerative algorithm is widely used in the ...

The purpose of data clustering algorithm is to form clusters (groups) of data points such that there is high intra-cluster and low inter-cluster similarity. There are different types of clustering ...

Johann Wolfgang Goethe-Universität, Institut für Organische Chemie und Chemische Biologie, Marie-Curie-Str. 11, D-60439 Frankfurt, Germany, and Boehringer Ingelheim Pharma GmbH & Co. KG, Department of ...