Abstract
In this paper a new hierarchical clustering technique is presented. This approach is similar to two popular hierarchical clustering algorithms, i.e. single-link and complete-link. These hierarchical methods play an important role in clustering data and allow to create well-separable clusters, whenever the clusters exist. The proposed method has been used to clustering artificial and real data sets. Obtained results confirm very good performances of the method.
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Starczewski, A. (2012). A New Hierarchical Clustering Algorithm. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2012. Lecture Notes in Computer Science(), vol 7268. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29350-4_21
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DOI: https://doi.org/10.1007/978-3-642-29350-4_21
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