Comparison of the Accuracy of the Probabilistic Distance Clustering Method and Cluster Ensembles
High accuracy of results is a very important aspect in any clustering problem t determines the effectiveness of decisions based on them. Therefore, literature proposes methods and solutions that aim to give more accurate and stable results than traditional clustering algorithms (e.g. k-means or hier...
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| Format: | Article |
| Language: | English |
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Lodz University Press
2016-12-01
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| Series: | Acta Universitatis Lodziensis. Folia Oeconomica |
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| Online Access: | https://czasopisma.uni.lodz.pl/foe/article/view/740 |