Tools for reducing (or perhaps "reshaping") the dimensionality of high-dimensional data are indispensable to a project like this. We should implement the following methods:
-
Principal Components Analysis - given an input matrix, return a principle components matrix
-
tSNE - given an input matrix, return a 2-dimensional reduction of that matrix
Tools for reducing (or perhaps "reshaping") the dimensionality of high-dimensional data are indispensable to a project like this. We should implement the following methods:
Principal Components Analysis - given an input matrix, return a principle components matrix
tSNE - given an input matrix, return a 2-dimensional reduction of that matrix