(b) Given a vector p = (0, 1) E R², numerically state a dataset {x) }1 such thatJi=1x* = mịn ||x – p||2 = min 2(x®, p) = x*i.e. the closest neighbour of p in Euclidean distance is the closest neighbour of p in angle.

At first we will define a special dataset {x(i)} which will be such that the Euclidean distance will…

Given a vector p= (0,1) e R², numerically state a dataset {x}_1 such that li=1 x* = mịn ||x – p||2 = min Z(x®, p) = x i.e. the closest neighbour of p in Euclidean distance is the closest neighbour of p in angle.

Given a vector p= (0,1) e R², numerically state a dataset {x}_1 such that li=1 x* = mịn ||x – p||2 = min Z(x®, p) = x i.e. the closest neighbour of p in Euclidean distance is the closest neighbour of p in angle.

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter3: Functions And Graphs

Section3.3: Lines

Problem 32E

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Question

(b) Given a vector p = (0, 1) E R², numerically state a dataset {x) }1 such that
Ji=1
x* = mịn ||x – p||2 = min 2(x®, p) = x*
i.e. the closest neighbour of p in Euclidean distance is the closest neighbour of p in angle.

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