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Because of the fast rate of technological progress, the volume of CAD data is increasing in gigabytes day by day, which are hard to make sense and difficult to analysis when time as resource is scarce and engineers need to take immediate inferences from CAD data. Now the challenge is to represent the data in such a way that it provides insights, trends and tendencies at glance and easy visualization by changing the variations options dynamically. In the authors' research, they shall try to make visualization framework that will incorporate clustering based on features of CAD images.
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