Uses of Interface
com.aliasi.util.Proximity

Packages that use Proximity

Package	Description
com.aliasi.classify	Classes for classifying data and evaluation.
com.aliasi.matrix	Classes for matrices and vectors.
com.aliasi.spell	Classes for spelling correction and edit distance.

Uses of Proximity in com.aliasi.classify

Methods in com.aliasi.classify that return Proximity

Modifier and Type	Method and Description
Proximity<Vector>	KnnClassifier.proximity() Returns the proximity measure for this KNN classifier.

Constructors in com.aliasi.classify with parameters of type Proximity

Constructor and Description
KnnClassifier(FeatureExtractor<? super E> extractor, int k, Proximity<Vector> proximity, boolean weightByProximity) Construct a k-nearest-neighbor classifier based on the specified feature extractor, specified maximum number of neighbors, specified proximity function, and boolean flag indicating whether or not to weight nearest neighbors by proximity during classification.

Uses of Proximity in com.aliasi.matrix

Subinterfaces of Proximity in com.aliasi.matrix

Modifier and Type	Interface and Description
interface	KernelFunction A KernelFunction computes real-valued proximities between vectors.

Classes in com.aliasi.matrix that implement Proximity

Modifier and Type	Class and Description
class	CosineDistance The CosineDistance class implements proximity as vector cosine.
class	DotProductKernel The DotProductKernel is the trivial kernel function computed by taking the dot product of the input vectors.
class	GaussianRadialBasisKernel A GaussianRadialBasisKernel provides a kernel based on a Gaussian radial basis function with a fixed variance parameter.
class	HyperbolicTangentKernel A HyperbolicTangentKernel provides a kernel based on the hyperbolic tangent of a dot product with fixed linear scaling.
class	PolynomialKernel A PolynomialKernel provides a dot product over a fixed degree polynomial basis expansion of a vector.

Uses of Proximity in com.aliasi.spell

Classes in com.aliasi.spell that implement Proximity

Modifier and Type	Class and Description
class	EditDistance The EditDistance class implements the standard notion of edit distance, with or without transposition.
class	FixedWeightEditDistance A FixedWeightEditDistance sets constant weights for the edit operations for weighted edit distance.
class	JaccardDistance The JaccardDistance class implements a notion of distance based on token overlap.
class	JaroWinklerDistance The JaroWinklerDistance class implements the original Jaro string comparison as well as Winkler's modifications.
class	TfIdfDistance The TfIdfDistance class provides a string distance based on term frequency (TF) and inverse document frequency (IDF).
class	TokenizedDistance The TokenizedDistance class provides an underlying implementation of string distance based on comparing sets of tokens.
class	WeightedEditDistance The WeightedEditDistance class implements both the proximity and distance interfaces based on the negative proximity weights assigned to independent atomic edit operations.