distance: Calculate the distance between two vectors.
In neighbr: Classification, Regression, Clustering with K Nearest Neighbors
Description
Usage
Arguments
Details
Value
See Also
Examples
Description
Calculate the distance between two vectors.
Usage
1
distance(x, y, measure)
Arguments
x, y
Numeric vectors.
measure
Distance measure ("euclidean" or "squared_euclidean").
Details
Distance measures in this package are based on those defined
in the PMML specification.
Distances are calculated using the following equations:
Euclidean: (∑((x_i - y_i)^2))^0.5
Squared euclidean: ∑((x_i - y_i)^2)
The input vectors must be of the same length.
Value
The distance between x and y.
See Also
similarity,
PMML comparison measures
Examples
1
2
neighbr documentation built on April 14, 2020, 7:37 p.m.
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Description Usage Arguments Details Value See Also Examples
Description
Calculate the distance between two vectors.
Usage
1 | distance(x, y, measure)
|
Arguments
x, y |
Numeric vectors. |
measure |
Distance measure ("euclidean" or "squared_euclidean"). |
Details
Distance measures in this package are based on those defined
in the PMML specification.
Distances are calculated using the following equations:
Euclidean: (∑((x_i - y_i)^2))^0.5
Squared euclidean: ∑((x_i - y_i)^2)
The input vectors must be of the same length.
Value
The distance between x and y.
See Also
similarity,
PMML comparison measures
Examples
1 2 |
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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