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In this video, we introduce the simplest classifier: the K-Nearest Neighbours classifier. This classifier has no trainable parameters, and classifies test points by finding its closest training…
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Supervised Learning
Course Code
GLHE11086 Licence Type
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Breaking ties between nearest neighbors
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Computational complexity of finding nearest-neighbors
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Sensitivity to outliers
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Inverted index
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Locality sensitive hashing (LSH)
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K-d tree algorithm
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Parzen windows, kernels and SVM
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Nearest-neighbor regression example
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Nearest-neighbor regression algorithm
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MNIST digit recognition
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Nearest-neighbor classification algorithm
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How to Control Overfitting
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