CPC G06F 18/23 (2023.01) [G06F 18/213 (2023.01); G06F 30/20 (2020.01); G06T 7/0004 (2013.01); G06T 2200/24 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/30108 (2013.01)] | 17 Claims |
1. A method for parameterizing an anomaly detection method which carries out a density-based cluster method on a basis of a multiplicity of sensor data points, the method comprising:
a) mapping, by at least one processor, each sensor data point in a data space into a pixel data point in a pixel space spanned by a multiplicity of pixel data points;
b) simulating, by the at least one processor, at least one operation of the density-based cluster method in the data space by means of at least one pixel operation in the pixel space;
c) receiving, by the at least one processor, at least one parameter value for each parameter of the density-based cluster method;
d) applying, by the at least one processor, the at least one pixel operation to the pixel data points according to the received parameter values;
e) outputting, by the at least one processor, a cluster result in visual form in the pixel space; and
f) providing, by the at least one processor, the received parameter values for the anomaly detection method.
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