Harvard University is offering free online courses for learners in artificial intelligence, data science, and programming.

Best when Data density is irregular Domain-meaningful distance threshold exists KNN is preferable when data density varies across the feature space, and when a fixed, predictable neighborhood is ...

SmartKNN is a nearest-neighbor–based learning method that belongs to the broader KNN family of algorithms.

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...

Abstract: K-nearest neighbor classification algorithm can quickly deal with the classification problem in this paper, but when calculating the similarity, it will assign the same weight to all ...

Abstract: Machine learning is about prediction on unseen data or testing data and a set of algorithms are required to perform task on machine learning. There are three types of machine learning are ...