Abstract: The invention relates to a method for segmenting and indexing features from multidimensional data, said method comprising the steps of inputting (201) a sequence of tuples in a transformation process, first mapping (204) the tuple sequence to a sequence of hash sums with a rolling hash function, grouping (205) the sequence of tuple hash sums into a sequence of overlapping and contiguous sequences of n tuples hash sums, second mapping (206) of the resulting sequence of n tuples hash sums to a sequence of n-gram hash sums, and segmenting (207) the sequence of n-gram hash sums into chunks of tuples using a segmentation method selected in the group comprising at least one Content-Defined Chunking and Winnowing.