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{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/1867812","sourcedb":"PMC","sourceid":"1867812","source_url":"https://www.ncbi.nlm.nih.gov/pmc/1867812","text":"In this step, we partition the extracted bit-patterns into approximately equivalent groups, each of which consists of bit-patterns that exhibit similar geometric properties (e.g., shape and size). To construct such equivalent groups, we run the k-means based clustering algorithm [22] over the bit-patterns' corresponding feature vectors, where k is the number of clusters (or equivalent groups) that will be produced.","tracks":[]}