k-Nearest-Neighbour classifier.

Inheritance diagram of mvpa2.clfs.knn


accepts_dataset_as_samples(fx) Decorator to extract samples from Datasets.
indent_doc(v) Given a value returns a string where each line is indented
squared_euclidean_distance(data1[, data2, ...]) Compute weighted euclidean distance matrix between two datasets.


Classifier([space]) Abstract classifier class to be inherited by all classifiers
ConditionalAttribute([enabled]) Simple container intended to conditionally store the value
Dataset(samples[, sa, fa, a]) Generic storage class for datasets with multiple attributes.
kNN([k, dfx, voting]) k-Nearest-Neighbour classifier.