Question: Part - A . Using intuition, can you use Dynamic Time Warping in images similarity? If so , how? Part - B . Using intuition,

Part-A. Using intuition, can you use Dynamic Time Warping in images similarity? If so, how?
Part-B. Using intuition, if two series Q and C are equal, what could be the optimal warping path between the 2 series? Can you guess/estimate the distance between the 2 series?
ie:
Q=[a,b,c,d]
C=Q
Part-C. Given the following time series:
Q=0.6,0.5,0.4,0.3,0.2,0.1
C=0.4,0.6,0.4,0.8,0.2,1.0
K=[0,0,0,0,0,0]
Compute the optimal (minimum) warping path distance between Q and C by drawing the distance table and cumulative distance table. Specifically, refer to the distance table d and the cumulative distance table below. You need to fill out the values in the tables. What is the optimal (minimum) warping path distance you computed? Use the traceback process to find the optimal warping path yielding the distance you computed.
Briefly describe how are you computing the values.
\table[[d(i,j),0.4,0.6,0.4,0.3,0.2,0.1],[0.6,,,,,,],[0.5,,,,,,]]
Part - A . Using intuition, can you use Dynamic

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