A rough approximation of the expectation of the number of times a well
separated fixed point
cluster (FPC) of size `n`

is found in `ir`

fixed point
iterations of `fixreg`

.

1 | ```
clusexpect(n, p, cn, ir)
``` |

`n` |
positive integer. Total number of points. |

`p` |
positive integer. Number of independent variables. |

`cn` |
positive integer smaller or equal to |

`ir` |
positive integer. Number of fixed point iterations. |

The approximation is based on the assumption that a well separated FPC
is found iff all `p+2`

points of the initial coinfiguration come
from the FPC. The value is `ir`

times the probability for
this. For a discussion of this assumption cf. Hennig (2002).

A number.

Christian Hennig c.hennig@ucl.ac.uk http://www.homepages.ucl.ac.uk/~ucakche/

Hennig, C. (2002) Fixed point clusters for linear regression:
computation and comparison, *Journal of
Classification* 19, 249-276.

1 | ```
round(clusexpect(500,4,150,2000),digits=2)
``` |

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