1 | /************************************************************************* |
2 | * Copyright (c) 2011 AT&T Intellectual Property |
3 | * All rights reserved. This program and the accompanying materials |
4 | * are made available under the terms of the Eclipse Public License v1.0 |
5 | * which accompanies this distribution, and is available at |
6 | * http://www.eclipse.org/legal/epl-v10.html |
7 | * |
8 | * Contributors: See CVS logs. Details at http://www.graphviz.org/ |
9 | *************************************************************************/ |
10 | |
11 | #include "config.h" |
12 | |
13 | #include "general.h" |
14 | #include "SparseMatrix.h" |
15 | #include "nearest_neighbor_graph_ann.h" |
16 | #include "nearest_neighbor_graph.h" |
17 | |
18 | SparseMatrix nearest_neighbor_graph(int nPts, int num_neigbors, int dim, double *x, double eps){ |
19 | /* Gives a nearest neighbor graph of a list of dim-dimendional points. The result is a sparse matrix |
20 | of nPts x nPts, with num_neigbors entries per row. |
21 | |
22 | nPts: number of points |
23 | num_neigbors: number of neighbors needed |
24 | dim: dimension |
25 | eps: error tolerance |
26 | x: nPts*dim vector. The i-th point is x[i*dim : i*dim + dim - 1] |
27 | |
28 | */ |
29 | int *irn = NULL, *jcn = NULL, nz; |
30 | real *val = NULL; |
31 | SparseMatrix A; |
32 | int k = num_neigbors; |
33 | |
34 | /* need to *2 as we do two sweeps of neighbors, so could have repeats */ |
35 | irn = MALLOC(sizeof(int)*nPts*k*2); |
36 | jcn = MALLOC(sizeof(int)*nPts*k*2); |
37 | val = MALLOC(sizeof(double)*nPts*k*2); |
38 | |
39 | #ifdef HAVE_ANN |
40 | nearest_neighbor_graph_ann(nPts, dim, num_neigbors, eps, x, &nz, &irn, &jcn, &val); |
41 | |
42 | A = SparseMatrix_from_coordinate_arrays(nz, nPts, nPts, irn, jcn, (void *) val, MATRIX_TYPE_REAL, sizeof(real)); |
43 | #else |
44 | A = NULL; |
45 | #endif |
46 | |
47 | FREE(irn); |
48 | FREE(jcn); |
49 | FREE(val); |
50 | |
51 | return A; |
52 | |
53 | |
54 | } |
55 | |