The scope extends to using further clustering models in addition to KNN and SVM which might have a better accuracy of prediction. Tags: Classification, KNN, machine learning, SVM. Updated: December 29, 2018. Share on Twitter Facebook Google+ LinkedIn Previous Next
Aug 07, 2019 · Scikit-learn is an open source Python library used for machine learning, preprocessing, cross-validation and visualization algorithms. It provides a range of supervised and unsupervised learning ...
Manhattan, Euclidean, Chebyshev, and Minkowski distances are part of the scikit-learn DistanceMetric class and can be used to tune classifiers such as KNN or clustering alogorithms such as DBSCAN. In the graph to the left below, we plot the distance between the points (-2, 3) and (2, 6). Get code examples like
API Reference¶. This is the class and function reference of scikit-learn. Please refer to the full user guide for further details, as the class and function raw specifications may not be enough to give full guidelines on their uses.
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