Explain K-NEAREST NEIGHBORS: Also, kNN. A machine learning algorithm that classifies things based on their similarity to nearby neighbors. You tune the algorithm’s execution by picking how many neighbors to examine (k) as well as some notion of “distance” to indicate how near the neighbors are. For example, in a social network, a friend of your friend could be considered twice the distance away from you as your friend. “Similarity” would be comparison of feature values in the neighbors being compared. See also classification, feature.
Different definitions in web development like k-nearest neighbors in Dictionary K.
- Manual K-Means Clustering:
- Meaning “A data mining algorithm to cluster, classify, or group your N objects based on their attributes or features into K number of groups (so-called clusters).”[parsian] See also clustering k-nearest neighbors definition.
