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src
shogun
distance
BrayCurtisDistance.cpp
Go to the documentation of this file.
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/*
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* This program is free software; you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation; either version 3 of the License, or
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* (at your option) any later version.
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*
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* Written (W) 2008-2009 Christian Gehl
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* Copyright (C) 2008-2009 Fraunhofer Institute FIRST
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*/
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#include <
shogun/lib/config.h
>
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#include <
shogun/lib/common.h
>
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#include <
shogun/io/SGIO.h
>
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#include <
shogun/distance/BrayCurtisDistance.h
>
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#include <
shogun/features/Features.h
>
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using namespace
shogun;
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CBrayCurtisDistance::CBrayCurtisDistance
()
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:
CDenseDistance
<
float64_t
>()
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{
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}
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CBrayCurtisDistance::CBrayCurtisDistance
(
CDenseFeatures<float64_t>
* l,
CDenseFeatures<float64_t>
* r)
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:
CDenseDistance
<
float64_t
>()
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{
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init
(l, r);
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}
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CBrayCurtisDistance::~CBrayCurtisDistance
()
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{
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cleanup
();
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}
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bool
CBrayCurtisDistance::init(
CFeatures
* l,
CFeatures
* r)
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{
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bool
result=
CDenseDistance<float64_t>::init
(l,r);
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return
result;
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}
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void
CBrayCurtisDistance::cleanup
()
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{
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}
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float64_t
CBrayCurtisDistance::compute
(int32_t idx_a, int32_t idx_b)
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{
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int32_t alen, blen;
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bool
afree, bfree;
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float64_t
* avec=
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((
CDenseFeatures<float64_t>
*)
lhs
)->get_feature_vector(idx_a, alen, afree);
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float64_t
* bvec=
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((
CDenseFeatures<float64_t>
*)
rhs
)->get_feature_vector(idx_b, blen, bfree);
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ASSERT
(alen==blen)
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float64_t
s1=0;
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float64_t
s2=0;
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{
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for
(int32_t i=0; i<alen; i++)
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{
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s1+=fabs(avec[i]-bvec[i]);
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s2+=fabs(avec[i]+bvec[i]);
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}
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}
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((
CDenseFeatures<float64_t>
*)
lhs
)->free_feature_vector(avec, idx_a, afree);
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((
CDenseFeatures<float64_t>
*)
rhs
)->free_feature_vector(bvec, idx_b, bfree);
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// trap division by zero
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if
(s2==0)
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return
0;
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return
(s1/s2);
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}
SHOGUN
Machine Learning Toolbox - Documentation