A Fast Algorithm to Initialize Cluster Centroids in Fuzzy Clustering Applications
The goal of partitioning clustering analysis is to divide a dataset into a predetermined number of homogeneous clusters. The quality of final clusters from a prototype-based partitioning algorithm is highly affected by the initially chosen centroids. In this paper, we propose the InoFrep, a novel da...
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| Format: | Artigo |
| Sprache: | Inglês |
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MDPI AG
2020-09-01
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| Schriftenreihe: | Information |
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| Online-Zugang: | https://www.mdpi.com/2078-2489/11/9/446 |
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