Function finds section of two different subsets comming from the same data set.

1 | ```
cls.set.section(clust1, clust2)
``` |

`clust1` |
n x 2 integer |

`clust2` |
n x 2 integer |

Let A and B be two different subsamples of the same data set.
Each subset is partitioned into P(A) and P(B) cluster sets. Information about object and cluster id's
for pairs (A,P(A)) and (B,P(B)) are stored in `matrices clust1`

and `clust2`

.
Function creates matrix which represents section of A and B.

`cls.set.section`

returns a n x 3 integer `matrix`

.
First column gives information about object number in dataset in increasing order.
Second column store information about cluster id the object is assigned to.
Information is taken from `clust1 vector`

The same is for the third column but cluster id is taken from `vector clust2`

.

Lukasz Nieweglowski

Function preapres data for further computation. Result mostly is used in:
`std.ext`

, `dot.product`

, `confusion.matrix`

1 2 3 4 5 | ```
# create two different subsamples
mx1 <- matrix(as.integer( c(1,2,3,4,5,6,1,1,2,2,3,3) ), 6, 2 )
mx2 <- matrix(as.integer( c(1,2,4,5,6,7,1,1,2,2,3,3) ), 6, 2 )
# find section
m = cls.set.section(mx1,mx2)
``` |

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