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Beschreibung
We propose two pre-processing steps to classification that apply convex hull- based algorithms to the training set to help improve the performance and speed of classification. The Class Reconstruction algorithm uses a clustering algorithm combined with a convex hull-based approach that re-labels the dataset with a new and expanded class structure. We demonstrate how this performance- improvement algorithm helps boost the accuracy results of Naive Bayes in some, but not all, cases that use real-world datasets.
Details
| Verlag | LAP LAMBERT Academic Publishing |
| Ersterscheinung | 09. Juli 2021 |
| Maße | 22 cm x 15 cm x 0.5 cm |
| Gewicht | 125 Gramm |
| Format | Softcover |
| ISBN-13 | 9786203928723 |
| Seiten | 72 |
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