Abstract
Nowadays, clustering on very large datasets is a very common task. In many scientific and research areas such as bioinformatics and/or economics, clustering on very big datasets has to be performed by people that are not familiar with computerized methods. In this contribution, an artificial intelligence clustering tool is presented which is user friendly and includes various powerful clustering algorithms that are able to cope with very large datasets that vary in nature. Moreover, the tool, presented in this contribution, allows the combination of various artificial intelligence algorithms in order to achieve better results. Experimental results show that the proposed artificial intelligence clustering tool is very flexible and has significant computational power, a fact that makes it suitable for clustering applications of very large datasets.
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Moschopoulos, C.N., Tsiatsis, P., Beligiannis, G.N., Fotakis, D., Likothanassis, S.D. (2009). Dealing with Large Datasets Using an Artificial Intelligence Clustering Tool. In: Koutsojannis, C., Sirmakessis, S. (eds) Tools and Applications with Artificial Intelligence. Studies in Computational Intelligence, vol 166. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88069-1_9
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DOI: https://doi.org/10.1007/978-3-540-88069-1_9
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