Visual Sorting with Machine Learning

Dimensionality reduction algorithms reduce dimension while retaining information present in the high-dimensional data. What makes each method unique is the type of information it preserves in the lower dimension. We want our colors arranged such that similar colors are mapped close to each other. We map the RGB data to a one-dimensional array and sort it. Different methods use different objective functions to reduce dimensions.