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77 lines
2.8 KiB
Plaintext
77 lines
2.8 KiB
Plaintext
------------------------------------------------------------
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ann_test: Version 1.0
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Copyright: David M. Mount and Sunil Arya.
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Latest Revision: Mar 1, 2005.
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------------------------------------------------------------
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validate = on (Warning: this may slow execution time.)
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stats = query_stats
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[Read Data Points:
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data_size = 20
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file_name = test1-data.pts
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dim = 2
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]
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[Read Query Points:
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query_size = 10
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file_name = test1-query.pts
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dim = 2
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]
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[Build ann-structure:
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split_rule = suggest
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shrink_rule = none
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data_size = 20
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dim = 2
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bucket_size = 1
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process_time = 0 sec
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(Structure Statistics:
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n_nodes = 39 (opt = 40, best if < 400)
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n_leaves = 20 (0 contain no points)
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n_splits = 19
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n_shrinks = 0
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empty_leaves = 0 percent (best if < 50 percent)
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depth = 6 (opt = 4, best if < 17)
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avg_aspect_ratio = 1.48847 (best if < 20)
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)
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]
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(Computing true nearest neighbors for validation. This may take time.)
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[Run Queries:
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query_size = 10
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dim = 2
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search_method = standard
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epsilon = 0
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near_neigh = 3
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true_nn = 13
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query_time = 0 sec/query (biased by perf measurements)
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(Performance stats: [ mean : stddev ]< min , max >
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leaf_nodes = [ 6.3 : 2.751 ]< 4 , 11 >
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splitting_nodes = [ 8.8 : 3.676 ]< 5 , 15 >
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shrinking_nodes = [ 0 : 0 ]< 0 , 0 >
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total_nodes = [ 15.1 : 6.35 ]< 9 , 26 >
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points_visited = [ 6.3 : 2.751 ]< 4 , 11 >
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coord_hits/pt = [ 0.57 : 0.2201 ]< 0.35 , 0.95 >
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floating_ops_(K) = [ 0.156 : 0.0563 ]< 0.101 , 0.254 >
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average_error = [ 0 : 0 ]< 0 , 0 >
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rank_error = [ 0 : 0 ]< 0 , 0 >
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)
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]
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[Run Queries:
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query_size = 10
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dim = 2
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search_method = priority
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epsilon = 0
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near_neigh = 3
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true_nn = 13
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query_time = 0 sec/query (biased by perf measurements)
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(Performance stats: [ mean : stddev ]< min , max >
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leaf_nodes = [ 5.9 : 2.025 ]< 4 , 9 >
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splitting_nodes = [ 8.7 : 3.498 ]< 5 , 15 >
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shrinking_nodes = [ 0 : 0 ]< 0 , 0 >
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total_nodes = [ 14.6 : 5.42 ]< 9 , 24 >
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points_visited = [ 5.9 : 2.025 ]< 4 , 9 >
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coord_hits/pt = [ 0.535 : 0.1667 ]< 0.35 , 0.8 >
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floating_ops_(K) = [ 0.1719 : 0.05861 ]< 0.114 , 0.267 >
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average_error = [ 0 : 0 ]< 0 , 0 >
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rank_error = [ 0 : 0 ]< 0 , 0 >
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)
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]
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