a) Draw the 2 dimensional feature space.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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Question: Consider the following samples observed:
class 1: (1,1), (1,2), (2,1), (2,2), (3,1), (3,2), (4.2), (4,3)
class 2: (1,-1), (1,-2), (1,-3), (2,-2)., (2,-3), (3,-2), (0,0), (0,5)
a) Draw the 2 dimensional feature space.
b) Classify the unknown vector X = (2,0) using k-nearest neighbor classifier with k=5.
c) Classify the unknown vector X = (2,0) using minimum distance classifier with %3D
Euclidean distance ( d(xy) = sqrt ( (x1-y1) + (x2-y2)? ). Obtain class mean vectors first.
Transcribed Image Text:Question: Consider the following samples observed: class 1: (1,1), (1,2), (2,1), (2,2), (3,1), (3,2), (4.2), (4,3) class 2: (1,-1), (1,-2), (1,-3), (2,-2)., (2,-3), (3,-2), (0,0), (0,5) a) Draw the 2 dimensional feature space. b) Classify the unknown vector X = (2,0) using k-nearest neighbor classifier with k=5. c) Classify the unknown vector X = (2,0) using minimum distance classifier with %3D Euclidean distance ( d(xy) = sqrt ( (x1-y1) + (x2-y2)? ). Obtain class mean vectors first.
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