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k-Nearest Neighbors Prediction

k-Nearest Neighbors Prediction:

The k-nearest neighbors (k-NN) prediction is a method to predict a value of a target variable in a given record, using as a reference point a training set of similar objects. The basic idea is to choose k objects from the training set that are closest to the given object in terms of the predictor variables, then to form the weighted average of target variable for those k objects. The weights are usually chosen inversely proportionally to the distances from the target object.

See also: the chapter from XLMiner help, and the online short course Introduction to Data Mining.

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Courses Using This Term

Multivariate Statistics
This course will teach you key multivariate procedures such as multivariate analysis of variance (MANOVA), principal components, factor analysis, and classification.
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