[8401] | 1 | #region License Information
|
---|
| 2 | /* HeuristicLab
|
---|
| 3 | * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
|
---|
| 4 | *
|
---|
| 5 | * This file is part of HeuristicLab.
|
---|
| 6 | *
|
---|
| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
|
---|
| 8 | * it under the terms of the GNU General Public License as published by
|
---|
| 9 | * the Free Software Foundation, either version 3 of the License, or
|
---|
| 10 | * (at your option) any later version.
|
---|
| 11 | *
|
---|
| 12 | * HeuristicLab is distributed in the hope that it will be useful,
|
---|
| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
|
---|
| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
---|
| 15 | * GNU General Public License for more details.
|
---|
| 16 | *
|
---|
| 17 | * You should have received a copy of the GNU General Public License
|
---|
| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
|
---|
| 19 | */
|
---|
| 20 | #endregion
|
---|
[8323] | 21 |
|
---|
| 22 | using System.Collections.Generic;
|
---|
| 23 | using System.Linq;
|
---|
| 24 |
|
---|
[8371] | 25 | namespace HeuristicLab.Algorithms.DataAnalysis {
|
---|
[8323] | 26 | public static class Util {
|
---|
| 27 | public static double ScalarProd(IEnumerable<double> v, IEnumerable<double> u) {
|
---|
| 28 | return v.Zip(u, (vi, ui) => vi * ui).Sum();
|
---|
| 29 | }
|
---|
| 30 |
|
---|
| 31 | public static double SqrDist(double x, double y) {
|
---|
| 32 | double d = x - y;
|
---|
[8463] | 33 | return d * d;
|
---|
[8323] | 34 | }
|
---|
| 35 |
|
---|
| 36 | public static double SqrDist(IEnumerable<double> x, IEnumerable<double> y) {
|
---|
[8463] | 37 | return x.Zip(y, (a, b) => (a - b) * (a - b)).Sum();
|
---|
[8323] | 38 | }
|
---|
| 39 |
|
---|
[8491] | 40 | public static double SqrDist(double[,] x, int i, int j, double scale = 1.0) {
|
---|
| 41 | return SqrDist(x, i, x, j, scale);
|
---|
| 42 | }
|
---|
| 43 |
|
---|
| 44 | public static double SqrDist(double[,] x, int i, double[,] xt, int j, double scale = 1.0) {
|
---|
| 45 | double ss = 0.0;
|
---|
| 46 | for (int k = 0; k < x.GetLength(1); k++) {
|
---|
| 47 | double d = x[i, k] - xt[j, k];
|
---|
| 48 | ss += d * d;
|
---|
| 49 | }
|
---|
| 50 | return scale * scale * ss;
|
---|
| 51 | }
|
---|
| 52 | public static double SqrDist(double[,] x, int i, int j, double[] scale) {
|
---|
| 53 | return SqrDist(x, i, x, j, scale);
|
---|
| 54 | }
|
---|
| 55 |
|
---|
| 56 | public static double SqrDist(double[,] x, int i, double[,] xt, int j, double[] scale) {
|
---|
| 57 | double ss = 0.0;
|
---|
| 58 | for (int k = 0; k < x.GetLength(1); k++) {
|
---|
| 59 | double d = x[i, k] - xt[j, k];
|
---|
| 60 | ss += d * d * scale[k] * scale[k];
|
---|
| 61 | }
|
---|
| 62 | return ss;
|
---|
| 63 | }
|
---|
| 64 |
|
---|
[8323] | 65 | public static IEnumerable<double> GetRow(double[,] x, int r) {
|
---|
| 66 | int cols = x.GetLength(1);
|
---|
| 67 | return Enumerable.Range(0, cols).Select(c => x[r, c]);
|
---|
| 68 | }
|
---|
[8366] | 69 | public static IEnumerable<double> GetCol(double[,] x, int c) {
|
---|
| 70 | int rows = x.GetLength(0);
|
---|
| 71 | return Enumerable.Range(0, rows).Select(r => x[r, c]);
|
---|
| 72 | }
|
---|
[8323] | 73 | }
|
---|
| 74 | }
|
---|