Cluster ensembles are an unsupervised ensemble learning method. The principle is to create multiple different clusterings of a dataset, possibly using different algorithms, then aggregate the opinions of the different clusterings into an ensemble result. The final ensemble clustering should be in theory more reliable than the individual clusterings.
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(2011). Cluster Ensembles. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-30164-8_122
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DOI: https://doi.org/10.1007/978-0-387-30164-8_122
Publisher Name: Springer, Boston, MA
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