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 D | visibility_based_preconditioner.cc | 548 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()
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H A D | visibility_based_preconditioner.h | 159 std::vector<int>* membership_vector) const;
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/dports/math/ceres-solver/ceres-solver-2.0.0/internal/ceres/ |
H A D | visibility_based_preconditioner.cc | 548 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()
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H A D | visibility_based_preconditioner.h | 159 std::vector<int>* membership_vector) const;
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/dports/math/py-hdbscan/hdbscan-0.8.27/hdbscan/ |
H A D | __init__.py | 5 membership_vector,
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H A D | prediction.py | 518 def membership_vector(clusterer, points_to_predict): function
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/dports/misc/openmvg/openMVG-2.0/src/third_party/ceres-solver/internal/ceres/ |
H A D | visibility_based_preconditioner.cc | 549 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()
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H A D | visibility_based_preconditioner.h | 154 std::vector<int>* membership_vector) const;
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/dports/math/py-hdbscan/hdbscan-0.8.27/hdbscan/tests/ |
H A D | test_hdbscan.py | 18 membership_vector,
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/dports/math/py-hdbscan/hdbscan-0.8.27/notebooks/ |
H A D | How Soft Clustering for HDBSCAN Works.ipynb | 273 " 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 …]
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H A D | Flat clustering.ipynb | 11 …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 …
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