Robust classification based on correlations between attributes /
The existence of noise in the data significantly impacts the accuracy of classification. ln this article, we are concerned with the development of novel classification algorithms that can efficiently handle noise. To attain this, we recognize an analogy between k nearest neighbors (kNN) classificati...
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| Main Authors: | , , , |
|---|---|
| Format: | Book Chapter |
| Jezik: | English |
| Teme: | |
| Sorodne knjige/članki: | Vsebovano v:
International journal of data warehousing and mining |
| Oznake: |
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