knneighbor: KNNeighbor
In Mthrun/Distances: Functions For Different Distance Measures

returns the k nearest neighbors to x in the data.

1	knneighbor(x, k, data, defined, distance)

`x`	a row vector, who's k nearest neighbors in the data are sought.
`k`	An integer, giving the number of nearest neighbors to x, that are sought.
`data`	A matrix, containing the data as row vectors.
`defined`	A row vector of the same length as x, containing 1 for all columns of the data that are used for the calculation. If defined is missing, all columns are used.
`distance`	the distance measure that is used, e.g. euclidean, minkovsky... If none is given, euclidean is the default

`nNInd`	a vector, containing the indices of the k rows of data that are the k nearest neighbours of x.
`nNData`	A matrix, containing the k nearest neighbours of x as row vectors
`nNDists`	A vector containing the distances of x to the corresponding k nearest neighbours.