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Description
Interface Summary  

KernelFunction  A KernelFunction computes realvalued proximities
between vectors. 
Matrix  A Matrix represents a 2dimensional matrix. 
Vector  A Vector represents an ndimensional value. 
Class Summary  

AbstractMatrix  An AbstractMatrix implements most of a matrix's
functionality in terms of methods for accessing numbers of rows and
columns and values. 
AbstractVector  An AbstractVector implements most of a vector's
functionality in terms of methods for dimensionality and values. 
CosineDistance  The CosineDistance class implements proximity as
vector cosine. 
DenseMatrix  A DenseMatrix is a matrix implementation suitable for
matrices with primarily nonzero values. 
DenseVector  A DenseVector is a vector implementation suitable for
vectors with primarily nonzero values. 
DotProductKernel  The DotProductKernel is the trivial kernel function
computed by taking the dot product of the input vectors. 
EuclideanDistance  The EuclideanDistance class implements standard
Euclidean distance between vectors. 
GaussianRadialBasisKernel  A GaussianRadialBasisKernel provides a kernel based on
a Gaussian radial basis function with a fixed variance parameter. 
HyperbolicTangentKernel  A HyperbolicTangentKernel provides a kernel based on
the hyperbolic tangent of a dot product with fixed linear scaling. 
Matrices  The Matrices class contains static utility methods
for various matrix properties and operations. 
MinkowskiDistance  The MinkowskiDistance class implements Minkowski
distance of a fixed order between vectors. 
PolynomialKernel  A PolynomialKernel provides a dot product over a fixed
degree polynomial basis expansion of a vector. 
ProximityMatrix  A ProximityMatrix provides a pseudometric of proximities
between points. 
SparseFloatVector  A SparseFloatVector implements an immutable sparse
vector with values represented as singleprecision floating point
numbers. 
SvdMatrix  An SvdMatrix provides a means of storing a matrix that
has been factored via a singularvalue decomposition (SVD). 
TaxicabDistance  The TaxicabDistance class implements standard taxicab,
or Manhattan distance between vectors. 
Classes for matrices and vectors.


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