Download Training Machine Learning KNN 2017 PDF Free - Full Version
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About Training Machine Learning KNN 2017
K-nearest neighbors is a simple machine learning algorithm that stores all training data and classifies new data based on similarity. It is a lazy, non-parametric algorithm that does not generalize from the training data. To classify a new data point, k-NN finds the k nearest neighbors in the training data and assigns the most common class among those neighbors. It works well for classification problems with large datasets and no clear separability or pattern. The main disadvantages are computational costs and sensitivity to irrelevant attributes.
Detailed Information
| Author: | ['Iwan'] |
|---|---|
| Publication Year: | 2018 |
| Pages: | 17 |
| Language: | English |
| Format: | |
| Price: | FREE |
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