Question

Consider the data as 2-D data points.

a)Given a new data point, x = .1.4, 1.6/ as a query, rank the database points based on similarity with the query using,(i)Euclidean distance,(ii)Manhattan distance, (iii)Supremum distance, and (iv)cosine similarity

A1 A2

X1 1.5 1.7

X2 2 1.9

X3 1.6 1.8

X4 1.2 1.5

X5 1.5 1.0

(b) Normalize the data set to make the norm of each data point equal to 1. Use Euclidean distance on the transformed data to rank the data points.

Answer 1

Answer:

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Explanation:

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