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| @@ -1,14 +1,14 @@ | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,87 @@ | ||
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@@ -2,15 +2,15 @@ Package: Rnanoflann | |
| Type: Package | ||
| Title: Extremely Fast Nearest Neighbor Search | ||
| Version: 0.0.1 | ||
| Date: 2023-10-26 | ||
| Date: 2023-10-30 | ||
| Authors@R: c( | ||
| person("Manos Papadakis", email = "[email protected]", role = c("aut", "cre", "cph")), | ||
| person("Jose Luis Blanco", email = "[email protected]" , role = c("aut","cph")), | ||
| person("Michail Tsagris", role = c("ctb")) | ||
| ) | ||
| Maintainer: Manos Papadakis <[email protected]> | ||
| Copyright: nanoflann library is copyright Jose Luis Blanco. See file COPYRIGHT for details. | ||
| Description: Finds the k nearest neighbours for every point in a given dataset using Jose Luis' 'nanoflann' library. There is support for exact searches, fixed radius searches with 'kd' trees and two distances, the 'Euclidean' and 'Manhattan'. For more information see <https://github.com/jlblancoc/nanoflann>. Also, the nanoflann library is exported and ready to be used via the linking to mechanism. | ||
| Copyright: 'nanoflann' library is copyright Jose Luis Blanco. See file COPYRIGHT for details. | ||
| Description: Finds the k nearest neighbours for every point in a given dataset using Jose Luis' 'nanoflann' library. There is support for exact searches, fixed radius searches with 'kd' trees and two distances, the 'Euclidean' and 'Manhattan'. For more information see <https://github.com/jlblancoc/nanoflann>. Also, the 'nanoflann' library is exported and ready to be used via the linking to mechanism. | ||
| License: GPL (>= 3) | ||
| Imports: Rcpp (>= 1.0.11) | ||
| LinkingTo: Rcpp, RcppArmadillo | ||
|
|
||
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,21 @@ | ||
|
|
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|
|
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| #ifndef COEFF_H | ||
| #define COEFF_H | ||
|
|
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| #include <RcppArmadillo.h> | ||
| #include <string> | ||
|
|
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| using Rcpp::NumericMatrix; | ||
| using std::string; | ||
| using namespace arma; | ||
| using namespace Rcpp; | ||
|
|
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| namespace Coeff | ||
| { | ||
| inline double bhattacharyya(colvec x, colvec y){ | ||
| return sum(sqrt(x % y)); | ||
| } | ||
| } | ||
|
|
||
| #endif |
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| @@ -0,0 +1,17 @@ | ||
| #pragma once | ||
| //[[Rcpp::depends(RcppArmadillo)]] | ||
| #include <RcppArmadillo.h> | ||
| using namespace arma; | ||
|
|
||
| namespace Dist | ||
| { | ||
| inline double manhattan(colvec x, colvec y) | ||
| { | ||
| return sum(abs(x - y)); | ||
| } | ||
|
|
||
| inline double euclidean(colvec x, colvec y) | ||
| { | ||
| return sum(square(x - y)); | ||
| } | ||
| } |
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