R Graphical Manual

Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
BioConductor
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Results 1 - 10 of 13 found.
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print.knnReg (Package: FNN) : Print Method for KNN Regression

Print method for KNN regression.

● Data Source: CranContrib
● Keywords: print
● Alias: print.knnReg, print.knnRegCV
● 0 images

entropy (Package: FNN) : Shannon Entropy

KNN Shannon Entropy Estimators.

● Data Source: CranContrib
● Keywords: manip
● Alias: entropy
● 0 images

KL.divergence (Package: FNN) : Kullback-Leibler Divergence

Compute Kullback-Leibler divergence.

● Data Source: CranContrib
● Keywords: manip
● Alias: KL.divergence, KLx.divergence
● 0 images

knn (Package: FNN) :

k-nearest neighbour classification for test set from training set. For each row of the test set, the k nearest (in Euclidean distance) training set vectors are found, and the classification is decided by majority vote, with ties broken at random. If there are ties for the kth nearest vector, all candidates are included in the vote.

● Data Source: CranContrib
● Keywords: classif, nonparametric
● Alias: knn
● 0 images

get.knn (Package: FNN) : Search Nearest Neighbors

Fast k-nearest neighbor searching algorithms including a kd-tree, cover-tree and the algorithm implemented in class package.

● Data Source: CranContrib
● Keywords: manip
● Alias: get.knn, get.knnx
● 0 images

knn.cv (Package: FNN) : k-Nearest Neighbour Classification Cross-Validation

k-nearest neighbour classification cross-validation from training set.

● Data Source: CranContrib
● Keywords: classif, nonparametric
● Alias: knn.cv
● 0 images

knn.index (Package: FNN) : Search Nearest Neighbors

Fast k-nearest neighbor searching algorithms including a kd-tree, cover-tree and the algorithm implemented in class package.

● Data Source: CranContrib
● Keywords: manip
● Alias: knn.index, knnx.index
● 0 images

knn.reg (Package: FNN) : k Nearest Neighbor Regression

k-nearest neighbor regression

● Data Source: CranContrib
● Keywords: nonparametric, regression
● Alias: knn.reg
● 1 images

ownn (Package: FNN) :

This function implements Samworth's optimal weighting scheme for k nearest neighbor classification. The performance improvement is greatest when the dimension is 4 as reported in the reference.

● Data Source: CranContrib
● Keywords: classif, nonparametric
● Alias: ownn
● 0 images

mutinfo (Package: FNN) : Mutual Information

KNN Mutual Information Estimators.

● Data Source: CranContrib
● Keywords: manip
● Alias: mdmutinfo, mutinfo
● 0 images