knncolle::ManhattanDistance Struct Reference

Compute Manhattan distances between two input vectors. More...

#include <distances.hpp>

Static Public Member Functions
template<typename Output_ , typename DataX_ , typename DataY_ , typename Dim_ >
static Output_	raw_distance (const DataX_ *x, const DataY_ *y, Dim_ num_dimensions)
template<typename Output_ >
static Output_	normalize (Output_ raw)
template<typename Output_ >
static Output_	denormalize (Output_ norm)

Detailed Description

Compute Manhattan distances between two input vectors.

Member Function Documentation

denormalize()

template<typename Output_ >

static Output_ knncolle::ManhattanDistance::denormalize ( Output_  norm )

inlinestatic

Template Parameters

Output_

Floating point type for the distance.

Parameters

norm	Normalized distance.

Returns

norm with no modification.

normalize()

template<typename Output_ >

static Output_ knncolle::ManhattanDistance::normalize ( Output_  raw )

inlinestatic

Template Parameters

Output_

Floating point type for the distance.

Parameters

raw	Manhattan distance.

Returns

raw with no modification.

raw_distance()

template<typename Output_ , typename DataX_ , typename DataY_ , typename Dim_ >

static Output_ knncolle::ManhattanDistance::raw_distance ( const DataX_ *  x, const DataY_ *  y, Dim_  num_dimensions  )

inlinestatic

Parameters

x	Pointer to the array containing the first vector.
y	Pointer to the array containing the second vector.
num_dimensions	Length of both vectors.

Template Parameters

Output_	Floating point type for the output distance.
DataX_	Floating point type for the first data vector.
DataY_	Floating point type for the second data vector.
Dim_	Integer type for the vector length.

Returns

The Manhattan distance between x and y.

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The documentation for this struct was generated from the following file:

• knncolle/distances.hpp