Kernel functions are mathematical tools used to operate in high-dimensional spaces without explicitly computing coordinates in those spaces. This concept is particularly useful in nanotechnology for handling complex systems and large datasets. Kernel functions enable efficient computations by transforming the input data into a higher-dimensional feature space.
