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Searched refs:membership_vector (Results 1 – 11 of 11) sorted by relevance

/dports/graphics/blender/blender-2.91.0/extern/ceres/internal/ceres/
H A Dvisibility_based_preconditioner.cc548 vector<int>* membership_vector) const { in FlattenMembershipMap()
549 CHECK(membership_vector != nullptr); in FlattenMembershipMap()
550 membership_vector->resize(0); in FlattenMembershipMap()
551 membership_vector->resize(num_blocks_, -1); in FlattenMembershipMap()
580 membership_vector->at(camera_id) = index; in FlattenMembershipMap()
H A Dvisibility_based_preconditioner.h159 std::vector<int>* membership_vector) const;
/dports/math/ceres-solver/ceres-solver-2.0.0/internal/ceres/
H A Dvisibility_based_preconditioner.cc548 vector<int>* membership_vector) const { in FlattenMembershipMap()
549 CHECK(membership_vector != nullptr); in FlattenMembershipMap()
550 membership_vector->resize(0); in FlattenMembershipMap()
551 membership_vector->resize(num_blocks_, -1); in FlattenMembershipMap()
580 membership_vector->at(camera_id) = index; in FlattenMembershipMap()
H A Dvisibility_based_preconditioner.h159 std::vector<int>* membership_vector) const;
/dports/math/py-hdbscan/hdbscan-0.8.27/hdbscan/
H A D__init__.py5 membership_vector,
H A Dprediction.py518 def membership_vector(clusterer, points_to_predict): function
/dports/misc/openmvg/openMVG-2.0/src/third_party/ceres-solver/internal/ceres/
H A Dvisibility_based_preconditioner.cc549 vector<int>* membership_vector) const { in FlattenMembershipMap()
550 CHECK_NOTNULL(membership_vector)->resize(0); in FlattenMembershipMap()
551 membership_vector->resize(num_blocks_, -1); in FlattenMembershipMap()
582 membership_vector->at(camera_id) = index; in FlattenMembershipMap()
H A Dvisibility_based_preconditioner.h154 std::vector<int>* membership_vector) const;
/dports/math/py-hdbscan/hdbscan-0.8.27/hdbscan/tests/
H A Dtest_hdbscan.py18 membership_vector,
/dports/math/py-hdbscan/hdbscan-0.8.27/notebooks/
H A DHow Soft Clustering for HDBSCAN Works.ipynb273 " membership_vector = dist_membership_vector(x, exemplar_dict, data)\n",
274 " color = np.argmax(membership_vector)\n",
275 " saturation = membership_vector[color]\n",
450 " membership_vector = outlier_membership_vector(x, cluster_ids, raw_tree, \n",
452 " color = np.argmax(membership_vector)\n",
453 " saturation = membership_vector[color]\n",
522 … " membership_vector = combined_membership_vector(x, data, tree, exemplar_dict, cluster_ids,\n",
524 " color = np.argmax(membership_vector)\n",
525 " saturation = membership_vector[color]\n",
604 " color = np.argmax(membership_vector)\n",
[all …]
H A DFlat clustering.ipynb11 …silon are not fully integrated. Functions like approximate_predict, membership_vector, and all_poi…
16 …"3. Predictions using approximate_predict, membership_vector, and all_points_membership_vectors fo…
977 …is hdbscan.flat.membership_vector_flat. It works similar to hdbscan.membership_vector, but also ta…
1138 …t-clustered HDBSCAN is a bit dodgy. This apears to be an issue with membership_vector as noted on …