ab.dist: Distance Functions for nearest neighbours
In MuViCP: MultiClass Visualizable Classification using Combination of Projections
Description
Usage
Arguments
Details
Value
Author(s)
See Also
Examples
Description
These functions compute Absolute (ab.dist), Euclidean
(eu.dist) or Mahalanobis (mh.dist) distances between two
points. The variant functions (*.matY), accomplish the same task,
but between a point on the one hand, and every point specified as rows of a matrix on the other.
Usage
1
2
3
4
5
6
ab.dist(x, y)
eu.dist(x, y)
mh.dist(x, y, A)
ab.dist.matY(x, Y)
eu.dist.matY(x, Y)
mh.dist.matY(x, Y, A)
Arguments
x
The vector (point) from which distance is sought.
y
The vector (point) to which distance is sought.
Y
A set of points, specified as rows of a matrix, to which distances are sought.
A
The inverse matrix to use for the Mahalanobis distance.
Details
These functions are used internally to decide how the nearest
neighbours shall be calculated; the user need not call any of these
functions directly. Rather, the choice of distance is specified as a
string ('euclidean' or 'absolute' or 'mahal').
Value
Either a single number for the distance, or a vector of distances,
corresponding to each row of Y.
Author(s)
Mohit Dayal
See Also
get.NN
Examples
1
2
3
4
5
6
7
8
9
10
11
x <- c(1,2)
y <- c(0,3)
mu <- c(1,3)
Sigma <- rbind(c(1,0.2),c(0.2,1))
Y <- MASS::mvrnorm(20, mu = mu, Sigma = Sigma)
ab.dist(x,y)
eu.dist(x,y)
mh.dist(x,y,Sigma)
ab.dist.matY(x,Y)
eu.dist.matY(x,Y)
mh.dist.matY(x,Y,Sigma)
Example output
Warning message:
no DISPLAY variable so Tk is not available
[1] 2
[1] 2
[,1]
[1,] 2.5
[1] 2.2284123 2.2378047 1.1964977 0.9432708 1.8059748 2.3870570 1.6303574
[8] 2.5202570 0.7032441 2.7113114 1.7023114 2.7414863 2.1732236 1.5718124
[15] 2.3493425 3.6400791 3.2157438 1.9691935 1.5027929 1.9431484
[1] 2.7771813 3.4846290 0.9536751 0.4452661 1.9816146 3.2541393
[7] 1.4036025 3.2927857 0.2529855 3.9744493 1.4643519 4.1670429
[13] 2.3624025 1.8209725 2.8782691 11.6991019 5.3710730 1.9578152
[19] 1.4690891 2.6461325
[1] 3.3488639 3.9471429 0.8938424 0.3712160 1.7975297 2.8805821
[7] 1.7234324 4.0672579 0.2132002 3.4365597 1.2267182 5.0383164
[13] 2.9526064 2.0321842 3.5484347 11.8634240 4.5594646 2.4393717
[19] 1.6947381 2.5210353
MuViCP documentation built on May 1, 2019, 7:56 p.m.
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.
Description Usage Arguments Details Value Author(s) See Also Examples
Description
These functions compute Absolute (ab.dist), Euclidean
(eu.dist) or Mahalanobis (mh.dist) distances between two
points. The variant functions (*.matY), accomplish the same task,
but between a point on the one hand, and every point specified as rows of a matrix on the other.
Usage
1 2 3 4 5 6 | ab.dist(x, y)
eu.dist(x, y)
mh.dist(x, y, A)
ab.dist.matY(x, Y)
eu.dist.matY(x, Y)
mh.dist.matY(x, Y, A)
|
Arguments
x |
The vector (point) from which distance is sought. |
y |
The vector (point) to which distance is sought. |
Y |
A set of points, specified as rows of a matrix, to which distances are sought. |
A |
The inverse matrix to use for the Mahalanobis distance. |
Details
These functions are used internally to decide how the nearest neighbours shall be calculated; the user need not call any of these functions directly. Rather, the choice of distance is specified as a string ('euclidean' or 'absolute' or 'mahal').
Value
Either a single number for the distance, or a vector of distances,
corresponding to each row of Y.
Author(s)
Mohit Dayal
See Also
get.NN
Examples
1 2 3 4 5 6 7 8 9 10 11 | x <- c(1,2)
y <- c(0,3)
mu <- c(1,3)
Sigma <- rbind(c(1,0.2),c(0.2,1))
Y <- MASS::mvrnorm(20, mu = mu, Sigma = Sigma)
ab.dist(x,y)
eu.dist(x,y)
mh.dist(x,y,Sigma)
ab.dist.matY(x,Y)
eu.dist.matY(x,Y)
mh.dist.matY(x,Y,Sigma)
|
Example output
Warning message:
no DISPLAY variable so Tk is not available
[1] 2
[1] 2
[,1]
[1,] 2.5
[1] 2.2284123 2.2378047 1.1964977 0.9432708 1.8059748 2.3870570 1.6303574
[8] 2.5202570 0.7032441 2.7113114 1.7023114 2.7414863 2.1732236 1.5718124
[15] 2.3493425 3.6400791 3.2157438 1.9691935 1.5027929 1.9431484
[1] 2.7771813 3.4846290 0.9536751 0.4452661 1.9816146 3.2541393
[7] 1.4036025 3.2927857 0.2529855 3.9744493 1.4643519 4.1670429
[13] 2.3624025 1.8209725 2.8782691 11.6991019 5.3710730 1.9578152
[19] 1.4690891 2.6461325
[1] 3.3488639 3.9471429 0.8938424 0.3712160 1.7975297 2.8805821
[7] 1.7234324 4.0672579 0.2132002 3.4365597 1.2267182 5.0383164
[13] 2.9526064 2.0321842 3.5484347 11.8634240 4.5594646 2.4393717
[19] 1.6947381 2.5210353
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.