View source: R/object.distances.R

object.distances | R Documentation |

This function calculates the distance between objects using the distance functions,
weights and other attributes of a trained SOM. This function is used in the calculation of the U matrix in
function `plot.missSOM`

using the `type = "dist.neighbours" argument.`

object.distances(kohobj, type = c("data", "ximp", "codes"))

`kohobj` |
An object of class |

`type` |
Whether to calculate distances between the data objects, or the codebook vectors. |

An object of class `dist`

, which can be directly fed into (e.g.) a hierarchical clustering.

`unit.distances`

, `imputeSOM`

data(wines) ## Data with no missing values set.seed(7) sommap <- imputeSOM(scale(wines), grid = somgrid(6, 4, "hexagonal")) obj.dists <- object.distances(sommap, type = "data") code.dists <- object.distances(sommap, type = "codes") ## Data with missing values X <- scale(wines) X[1:5, 1] <- NaN sommap <- imputeSOM(X, grid = somgrid(6, 4, "hexagonal")) obj.dists <- object.distances(sommap, type = "ximp") code.dists <- object.distances(sommap, type = "codes")

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