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/dports/math/py-hdbscan/hdbscan-0.8.27/hdbscan/
H A D_hdbscan_reachability.pyx45 core_distances = np.partition(distance_matrix,
49 core_distances = np.sort(distance_matrix,
55 stage1 = np.where(core_distances > distance_matrix,
56 core_distances, distance_matrix)
57 result = np.where(core_distances > stage1.T,
58 core_distances.T, stage1.T).T
119 result = np.where(core_distances > stage1.T,
120 core_distances.T, stage1.T).T
138 result = np.where(core_distances > stage1.T,
139 core_distances.T, stage1.T).T
[all …]
H A Dvalidity.py107 core_distances = all_points_core_distance(distance_matrix.copy(), d=d)
108 core_dist_matrix = np.tile(core_distances, (core_distances.shape[0], 1))
113 return result, core_distances
315 core_distances = {}
330 mr_distances, core_distances[
359 core_distances[i], core_distances[j],
H A Dprediction.py103 self.core_distances = self.tree.query(data, k=min_samples)[0][:, -1]
147 core_distances, min_samples): argument
176 neighbor_core_distances = core_distances[neighbor_indices]
197 core_distances, min_samples): argument
232 core_distances,
256 neighbor_distances, core_distances, argument
297 core_distances,
402 clusterer.prediction_data_.core_distances,
497 clusterer.prediction_data_.core_distances,
568 clusterer.prediction_data_.core_distances,
H A Drobust_single_linkage_.py61 core_distances = tree.query(X, k=k)[0][:, -1].copy(order='C')
62 min_spanning_tree = mst_linkage_core_vector(X, core_distances, dist_metric,
85 core_distances = tree.query(X, k=k)[0][:, -1].copy(order='C')
86 min_spanning_tree = mst_linkage_core_vector(X, core_distances, dist_metric,
H A D_hdbscan_linkage.pyx57 np.ndarray[np.double_t, ndim=1, mode='c'] core_distances,
103 current_core_distances = (<np.double_t *> core_distances.data)
127 core_value = core_distances[j]
H A Dhdbscan_.py202 core_distances = tree.query(X, k=min_samples,
206 min_spanning_tree = mst_linkage_core_vector(X, core_distances, dist_metric,
239 core_distances = tree.query(X, k=min_samples,
244 min_spanning_tree = mst_linkage_core_vector(X, core_distances, dist_metric,
H A Dflat.py348 prediction_data.core_distances,
465 prediction_data.core_distances,
/dports/devel/hwloc/hwloc-1.11.13/tests/
H A Dhwloc_topology_dup.c18 float node_distances[9], core_distances[36]; in main() local
30 core_distances[i*6+j] = (i == j ? 4.f : 8.f); in main()
38 hwloc_topology_set_distance_matrix(oldtopology, HWLOC_OBJ_CORE, 6, core_indexes, core_distances); in main()
H A Dhwloc_topology_restrict.c70 float node_distances[9], core_distances[36]; in main() local
82 core_distances[i*6+j] = (i == j ? 4.f : 8.f); in main()
88 hwloc_topology_set_distance_matrix(topology, HWLOC_OBJ_CORE, 6, core_indexes, core_distances); in main()
/dports/net/mpich/mpich-3.4.3/src/pm/hydra2/libhydra/topo/hwloc/hwloc/tests/hwloc/
H A Dhwloc_topology_dup.c20 hwloc_uint64_t node_distances[9], core_distances[36]; in main() local
41 core_distances[i*6+j] = (i == j ? 4 : 8); in main()
43 err = hwloc_distances_add(oldtopology, 6, cores, core_distances, in main()
H A Dhwloc_topology_restrict.c109 hwloc_uint64_t node_distances[9], core_distances[36]; in main() local
131 core_distances[i*6+j] = (i == j ? 4 : 8); in main()
133 err = hwloc_distances_add(topology, 6, cores, core_distances, in main()
/dports/net/mpich/mpich-3.4.3/modules/hwloc/tests/hwloc/
H A Dhwloc_topology_dup.c20 hwloc_uint64_t node_distances[9], core_distances[36]; in main() local
41 core_distances[i*6+j] = (i == j ? 4 : 8); in main()
43 err = hwloc_distances_add(oldtopology, 6, cores, core_distances, in main()
H A Dhwloc_topology_restrict.c109 hwloc_uint64_t node_distances[9], core_distances[36]; in main() local
131 core_distances[i*6+j] = (i == j ? 4 : 8); in main()
133 err = hwloc_distances_add(topology, 6, cores, core_distances, in main()
/dports/net/mpich/mpich-3.4.3/src/pm/hydra/tools/topo/hwloc/hwloc/tests/hwloc/
H A Dhwloc_topology_dup.c20 hwloc_uint64_t node_distances[9], core_distances[36]; in main() local
41 core_distances[i*6+j] = (i == j ? 4 : 8); in main()
43 err = hwloc_distances_add(oldtopology, 6, cores, core_distances, in main()
H A Dhwloc_topology_restrict.c109 hwloc_uint64_t node_distances[9], core_distances[36]; in main() local
131 core_distances[i*6+j] = (i == j ? 4 : 8); in main()
133 err = hwloc_distances_add(topology, 6, cores, core_distances, in main()
/dports/devel/hwloc2/hwloc-2.5.0/tests/hwloc/
H A Dhwloc_topology_dup.c20 hwloc_uint64_t node_distances[9], core_distances[36]; in main() local
47 core_distances[i*6+j] = (i == j ? 4 : 8); in main()
53 err = hwloc_distances_add_values(oldtopology, handle, 6, cores, core_distances, 0); in main()
H A Dhwloc_topology_restrict.c109 hwloc_uint64_t node_distances[9], core_distances[36]; in main() local
137 core_distances[i*6+j] = (i == j ? 4 : 8); in main()
143 err = hwloc_distances_add_values(topology, handle, 6, cores, core_distances, 0); in main()
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/cluster/
H A D_optics.py339 core_distances=self.core_distances_,
386 core_distances = np.empty(n_samples)
387 core_distances.fill(np.nan)
394 core_distances[sl] = neighbors.kneighbors(X[sl], min_samples)[0][:, -1]
395 return core_distances
623 def cluster_optics_dbscan(*, reachability, core_distances, ordering, eps): argument
651 n_samples = len(core_distances)
655 near_core = core_distances <= eps
/dports/net/mpich2/mpich2-1.5/src/pm/hydra/tools/topo/hwloc/hwloc/tests/
H A Dhwloc_topology_restrict.c70 float node_distances[9], core_distances[36]; in main() local
82 core_distances[i*6+j] = (i == j ? 4.f : 8.f); in main()
88 hwloc_topology_set_distance_matrix(topology, HWLOC_OBJ_CORE, 6, core_indexes, core_distances); in main()
/dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/cluster/
H A Dplot_optics.py48 core_distances=clust.core_distances_,
54 core_distances=clust.core_distances_,