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Learning OpenCV 3 Application Development by Samyak Datta

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k-nearest neighbors classifier - introduction

We have covered an unsupervised learning algorithm: k-means clustering. It is time we move on to the supervised counterparts. We are going to discuss a machine learning algorithm that goes by the name of k-nearest neighbors classifier, often abbreviated as the kNN classifier. Although the names of both (k-means and kNN) sound similar, they are, in fact, somewhat different in their working, the most glaring difference being the fact that k-means clustering is an unsupervised technique used to divide the data points into meaningful clusters, while the kNN algorithm is a classifier that associates a class label with each data point.

As always, let's use an example to motivate the main concepts behind the ...

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