1. A method for segmenting texture of multi-dimensional data indicative of a characteristic of an object comprising: receiving the multi-dimensional data; transforming the multi-dimensional data into second multi-dimensional data within a Stockwell domain using a rotation-invariant form of the S-transform of the multi-dimensional data; applying principal component analysis to the second multi-dimensional data for generating texture data characterizing texture around data points of at least a portion of the multi-dimensional data; and, partitioning the data points of the at least a portion of the multi-dimensional data into clusters based on the texture data using a classification process.