3dpcp/3rdparty/ann_1.1.1_modified/test/test1.save

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2012-09-16 12:33:11 +00:00
------------------------------------------------------------
ann_test: Version 1.0
Copyright: David M. Mount and Sunil Arya.
Latest Revision: Mar 1, 2005.
------------------------------------------------------------
validate = on (Warning: this may slow execution time.)
stats = query_stats
[Read Data Points:
data_size = 20
file_name = test1-data.pts
dim = 2
]
[Read Query Points:
query_size = 10
file_name = test1-query.pts
dim = 2
]
[Build ann-structure:
split_rule = suggest
shrink_rule = none
data_size = 20
dim = 2
bucket_size = 1
process_time = 0 sec
(Structure Statistics:
n_nodes = 39 (opt = 40, best if < 400)
n_leaves = 20 (0 contain no points)
n_splits = 19
n_shrinks = 0
empty_leaves = 0 percent (best if < 50 percent)
depth = 6 (opt = 4, best if < 17)
avg_aspect_ratio = 1.48847 (best if < 20)
)
]
(Computing true nearest neighbors for validation. This may take time.)
[Run Queries:
query_size = 10
dim = 2
search_method = standard
epsilon = 0
near_neigh = 3
true_nn = 13
query_time = 0 sec/query (biased by perf measurements)
(Performance stats: [ mean : stddev ]< min , max >
leaf_nodes = [ 6.3 : 2.751 ]< 4 , 11 >
splitting_nodes = [ 8.8 : 3.676 ]< 5 , 15 >
shrinking_nodes = [ 0 : 0 ]< 0 , 0 >
total_nodes = [ 15.1 : 6.35 ]< 9 , 26 >
points_visited = [ 6.3 : 2.751 ]< 4 , 11 >
coord_hits/pt = [ 0.57 : 0.2201 ]< 0.35 , 0.95 >
floating_ops_(K) = [ 0.156 : 0.0563 ]< 0.101 , 0.254 >
average_error = [ 0 : 0 ]< 0 , 0 >
rank_error = [ 0 : 0 ]< 0 , 0 >
)
]
[Run Queries:
query_size = 10
dim = 2
search_method = priority
epsilon = 0
near_neigh = 3
true_nn = 13
query_time = 0 sec/query (biased by perf measurements)
(Performance stats: [ mean : stddev ]< min , max >
leaf_nodes = [ 5.9 : 2.025 ]< 4 , 9 >
splitting_nodes = [ 8.7 : 3.498 ]< 5 , 15 >
shrinking_nodes = [ 0 : 0 ]< 0 , 0 >
total_nodes = [ 14.6 : 5.42 ]< 9 , 24 >
points_visited = [ 5.9 : 2.025 ]< 4 , 9 >
coord_hits/pt = [ 0.535 : 0.1667 ]< 0.35 , 0.8 >
floating_ops_(K) = [ 0.1719 : 0.05861 ]< 0.114 , 0.267 >
average_error = [ 0 : 0 ]< 0 , 0 >
rank_error = [ 0 : 0 ]< 0 , 0 >
)
]