ompute milari possible, binary vectors), Euclidean distance, correlation coefficient for the following vectors, x, y: а. х- (0, -1,1, 2, -2). у - (0, -2, 2, 4, -4) b. x= (0, 1, 0, 0, 0), y = (0, 1, 0, 0, 1) с. х-(-1,-1,-1, -1, -1), у 3 (1, 1, 1, 1, 1)
ompute milari possible, binary vectors), Euclidean distance, correlation coefficient for the following vectors, x, y: а. х- (0, -1,1, 2, -2). у - (0, -2, 2, 4, -4) b. x= (0, 1, 0, 0, 0), y = (0, 1, 0, 0, 1) с. х-(-1,-1,-1, -1, -1), у 3 (1, 1, 1, 1, 1)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Question
Data Mining - cosine similarity, Jaccard coefficient, Euclidean distance, correlation coefficient.
Transcribed Image Text:6)
Compute the cosine similarity, Jaccard coefficient (if possible, for binary vectors),
Euclidean distance, correlation coefficient for the following vectors, x, y:
а. х- (0, -1,1, 2, -2), у - (0, -2, 2, 4, -4)
b. x= (0,1, 0, 0, 0), y = (0, 1, 0, 0, 1)
с. х-(-1,-1, -1, -1, -1), у 3 (1,1, 1,1, 1)
%3D
Expert Solution
Step 1
Here we gave solution one by one all parts individually.
===================================================
1.Cosine similarity:
second
third:
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