Description Usage Arguments Value Author(s) Examples

View source: R/unit.distances.R

Function `somgrid`

(modified from the version in the class
package) sets up a grid of units, of a specified size
and topology. Distances between grid units are calculated by function
`unit.distances`

.

1 2 3 |

`xdim, ydim` |
dimensions of the grid. |

`topo` |
choose between a hexagonal or rectangular topology. |

`neighbourhood.fct` |
choose between bubble and gaussian neighbourhoods when training a SOM. |

`toroidal` |
logical, whether the grid is toroidal or not. If not
provided to the |

`grid` |
an object of class |

Function `somgrid`

returns an object of class "somgrid", with
elements `pts`

, and the input arguments to the function.

Function `unit.distances`

returns a (symmetrical) matrix
containing distances. When `grid$n.hood`

equals "circular",
Euclidean distances are used; for `grid$n.hood`

is "square"
maximum distances. For toroidal maps (joined at the edges) distances
are calculated for the shortest path.

Ron Wehrens

1 2 3 4 5 6 7 8 9 10 11 12 13 14 | ```
mygrid <- somgrid(5, 5, "hexagonal")
fakesom <- list(grid = mygrid)
class(fakesom) <- "kohonenDTW"
par(mfrow = c(2,1))
dists <- unit.distances(mygrid)
plot(fakesom, type="property", property = dists[1,],
main="Distances to unit 1", zlim=c(0,6),
palette = rainbow, ncolors = 7)
dists <- unit.distances(mygrid, toroidal=TRUE)
plot(fakesom, type="property", property = dists[1,],
main="Distances to unit 1 (toroidal)", zlim=c(0,6),
palette = rainbow, ncolors = 7)
``` |

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