28. The non-transitory computer readable medium of claim 27 , the method further comprising: partitioning the received ordered data elements into the plurality of semantic classes based on a dissimilarity metric, the plurality of semantic classes including the one or more first semantic classes and the one or more second semantic classes.
28. The non-transitory computer readable medium of claim 27 , the method further comprising: partitioning the received ordered data elements into the plurality of semantic classes based on a dissimilarity metric, the plurality of semantic classes including the one or more first semantic classes and the one or more second semantic classes. 29. The non-transitory computer readable medium of claim 28 , wherein the partitioning further comprising: generating a plurality of data clusters, each data cluster including at least one semantic class of the plurality of semantic classes, and wherein substantially similar data elements are assigned to a data cluster, and the plurality of semantic classes correspond to respective blades of the blades of the graded vector space.