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3.9.3: Closest Points Multi-dimensional
Fig. 126.96.36.199: Random points in a unit volume connected to their nearest neighbor in a 5-D setting
A nearest neighbor search can be generalized to any number of dimensions. Use the “Closest Point Multi-Dimensional”-component in case of more than three. Fig. 188.8.131.52 shows an example with five dimensions: Dimensions one to three represent space. Dimension four is the shortest distance between each point and the thick red guide line. The curve parameter of the guide line at the point where it meets the line of shortest distance acts as fifth dimension. Each of the randomly generated points is connected with its nearest neighbor. One can see from fig. 184.108.40.206 that the resulting line segments align to the guide curve – in some way.
There are three input-plugs on the component: