  Clustering is a crucial tool for analyzing data in virtually every scientific
and engineering discipline. There are more scalable solutions framed to enable
time and space clustering for the future large-scale data analyses. As a
result, hardware and software innovations that can significantly improve data
efficiency and performance of the data clustering techniques are necessary to
make the future large-scale data analysis practical. This paper proposes a
novel mechanism for computing bit-serial medians. We propose a novel method,
two-parameter terms that enables in computation within the data arrays
