flanner: flanner.
In rossklin/flanner: Approximate nearest neighbours queries
Description
Usage
Arguments
Details
Description
flanner.
Precompute a nearest neighbours lookup index for later
queries.
Usage
1
Arguments
df
data.frame containing points
cols
columns with respect to which to do lookups
(defaults to all columns)
may.contain.NA
whether the data.frame can contain
incomplete rows (which will be ignored)
maxleaf
maximum number of items in each leaf node
(nanoflann suggests between 10 and 50, defaulting to 10)
Details
Returns df with additional class "flanner" and any
attributes required to make efficient nearest neighbour
lookups using knn_lookup_rows or
knn_lookup.
Any rows containing NA are ignored, but row numbers
produced by lookup functions will take NA values into
account when computing indices (that is to say they will
return row numbers of df, *not* row numbers of
df after incomplete rows have been removed).
rossklin/flanner documentation built on May 27, 2019, 11:39 p.m.
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Description Usage Arguments Details
Description
flanner.
Precompute a nearest neighbours lookup index for later queries.
Usage
1 |
Arguments
df |
data.frame containing points |
cols |
columns with respect to which to do lookups (defaults to all columns) |
may.contain.NA |
whether the data.frame can contain incomplete rows (which will be ignored) |
maxleaf |
maximum number of items in each leaf node (nanoflann suggests between 10 and 50, defaulting to 10) |
Details
Returns df with additional class "flanner" and any
attributes required to make efficient nearest neighbour
lookups using knn_lookup_rows or
knn_lookup.
Any rows containing NA are ignored, but row numbers
produced by lookup functions will take NA values into
account when computing indices (that is to say they will
return row numbers of df, *not* row numbers of
df after incomplete rows have been removed).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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