Abstract
This paper presents approaches to hierarchical clustering of images using a GHSOM in application as image search engine. It is analysed some hierarchical clustering and SOMs variants. Experiments are based on benchmark ICPR and MIRFlickr image datasets. As quality of gained solution the external and the internal measures are analysed.
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Buczek, B.M., Myszkowski, P.B. (2011). Growing Hierarchical Self-Organizing Map for Images Hierarchical Clustering. In: Jędrzejowicz, P., Nguyen, N.T., Hoang, K. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2011. Lecture Notes in Computer Science(), vol 6922. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23935-9_5
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DOI: https://doi.org/10.1007/978-3-642-23935-9_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23934-2
Online ISBN: 978-3-642-23935-9
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