I want to teach a 2D data set. Is that possible? Background: I have a function curve y=f(x) and would like to have the resulting y (or its derivative) assigned to certain, fixed classes . I have only found examples for 3D, i.e. finding a structure in an image (y=f(x, y)).
let’s rephrase this so the confusing statistics terminology doesn’t stand in the way.
we express stuff as tensors, i.e. scalars (0D), vectors (1D), matrices (2D) and tensors (3D+).
the value dimension is usually not counted. we aren’t considering relations but functions.
your data appears to be a vector. it can be plotted as a curve.
for comparison: 2D data would be grayscale images or depth data or many other things. they can be plotted as grayscale/false-color images, or as 3D plots showing a height field. a color image would be 3D data, with usually three color components in the last/innermost dimension.
your thread’s title says “haar cascade”. those are used to locate objects in a picture (2D/grayscale image) by their appearance.
are you asking how to locate patterns in a 1D signal?
detection/localization is different from classification. classification slaps a class label on the signal as a whole.
cascade classifiers are for classification but in OpenCV they’re only used for detection/localization, using the “moving window” approach, on multiple spatial scales, and specifically Haar or LBP features.
OpenCV has some stuff in the ml module, which supports training/regression. its dnn module is for inference only, not for training.
can you show examples of the data you are dealing with?
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Thank you first of all for a good and detailed answer.
Yes, I mean vectors then.
As an example, I’ll just say a series of measurements to be classified. This can be just one graph, but also several that are connected in a mechanical reference system. If, for example, a component no longer works properly, this also has an effect on other components. These do not break immediately, but I would like to use their movement for early detection of a failure.
For example, the vibration that is transmitted to the housing.
I hope that I have expressed myself clearly, as I am using an English translation software.