by Jan Hakenberg | published as viXra:2007.0043 – July 7th, 2020 |

**Abstract:**
We construct biinvariant vector valued functions of relative distances using the influence matrix, and the Mahalanobis distance defined by scattered sets of points on Lie groups. The functions are invariant under all group operations. Distance vectors define an ordering of the points in the scattered set with respect to a group element. Applications are classification, inverse distance weighting, and the construction of generalized barycentric coordinates for the purpose of deformation, and domain transfer.

Biinvariant Distance Vectors * | biinvariant_dis...pdf | 2.3 MB |

viXra:2007.0043 | link | |

youtube | link |

What can be conceived

can be created.

from a 1980 car ad

The article discusses four types of distance vectors:

The leverages are the diagonal elements of the influence matrix at point x. The values are constrained to the unit interval [0, 1]. |
The Mahalanobis distance is the evaluation of the tangent vectors log_x(p_i) subject to the positive definite bilinear form at x. |

An element of the |
The |

**Figure:**
The points in P from SE(2) are color coded according to their position in the ordering based on their relative distance from x in SE(2).
From left to right:
Leverage distances, Harbor distances, Garden distances

What you read when you don't have to

determines what you will be

when you can't help it.

Wilde

The author was partially supported by personal savings accumulated during his employment at ETH Zürich in 2017–2019. He'd like to thank everyone who worked to make this opportunity available to him.