comps | R Documentation |

Generic function and methods to find connected components in nearest neighbor graphs.

comps(x, ...) ## S3 method for class 'dist' comps(x, eps, ...) ## S3 method for class 'kNN' comps(x, mutual = FALSE, ...) ## S3 method for class 'sNN' comps(x, ...) ## S3 method for class 'frNN' comps(x, ...)

`x` |
the NN object representing the graph or a dist object |

`...` |
further arguments are currently unused. |

`eps` |
threshold on the distance |

`mutual` |
for a pair of points, do both have to be in each other's neighborhood? |

Note that for kNN graphs, one point may be in the kNN of the other but nor vice versa.
`mutual = TRUE`

requires that both points are in each other's kNN.

a integer vector with component assignments.

Michael Hahsler

Other NN functions:
`NN`

,
`frNN()`

,
`kNNdist()`

,
`kNN()`

,
`sNN()`

set.seed(665544) n <- 100 x <- cbind( x=runif(10, 0, 5) + rnorm(n, sd = 0.4), y=runif(10, 0, 5) + rnorm(n, sd = 0.4) ) plot(x, pch = 16) # Connected components on a graph where each pair of points # with a distance less or equal to eps are connected d <- dist(x) components <- comps(d, eps = .8) plot(x, col = components, pch = 16) # Connected components in a fixed radius nearest neighbor graph # Gives the same result as the threshold on the distances above frnn <- frNN(x, eps = .8) components <- comps(frnn) plot(frnn, data = x, col = components) # Connected components on a k nearest neighbors graph knn <- kNN(x, 3) components <- comps(knn, mutual = FALSE) plot(knn, data = x, col = components) components <- comps(knn, mutual = TRUE) plot(knn, data = x, col = components) # Connected components in a shared nearest neighbor graph snn <- sNN(x, k = 10, kt = 5) components <- comps(snn) plot(snn, data = x, col = components)

dbscan documentation built on Oct. 29, 2022, 1:13 a.m.

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.