1. A method for object classification for a radar system of a vehicle, the method comprising the steps of: obtaining, via a processor, spectrogram data from a plurality of spectrograms pertaining to an object proximate the vehicle based on received radar signals for the radar system; aggregating, via the processor, the spectrogram data from each of the plurality of spectrograms into a clustering computer vision model; classifying, via the processor, the object based on the aggregation of the spectrogram data from each of the plurality of spectrograms into the clustering computer vision model extracting, via the processor, features from each of the plurality of spectrograms; performing, via the processor, a vector quantization of the features; and incorporating, via the processor, the vector quantization into the clustering computer vision model.