STATISTICA k-Nearest Neighbors (KNN) is a memory-based model defined by a set of objects known as examples (also known as instances) for which the outcome are known (i.e., the examples are labeled).
1) K-Nearest Neighbors and density estimation
Let P be any point of the space. One determines the smallest sphere, centered on P, and that contains exactly K observations.
Teknomo, Kardi. K-Nearest Neighbors Tutorial. http:\people.revoledu.com\kardi\ tutorial\KNN\ ...
Construct a neighborhood graph to connect each object to its K-Nearest Neighbors (KNN);
Estimate a density for each object based on its proximities to its KNN;
Objects are classified into 3 types: ...
Oracle's Data Mining Suite (Darwin) implements classification and regression trees, neural networks, k-nearest neighbors, regression analysis and clustering algorithms.
 See also: Classification, Regression, Data mining, Neural network, Validation
  
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