Given the new data set (the mean is already subtracted) shown below.We would like to perform dimensionality reduction from 4 D to

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
Section: Chapter Questions
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Given the new data set (the mean is already subtracted) shown below.We would like to perform dimensionality reduction from 4 D to
3D using Generalized Hebbian Learning (GHA).
Dataset
X1 X2 X3 X4
0.52.2-2.83.7
Given the initialized weight matrix below( index of weights starts from 1), and the output y(0) = [-0.303, 1.712, 1.723] find the
weight w12 (1)
<
[-0.4
-0.1
-0.24
-0.151
w (0) = -0.1
0.32
-0.14
0.18
0.48
0.2
0.09 0.35
Select one:
O a. 12 (1)-0.132
O b. w₁2 (1) 0.069
=
O c. w₁2 (1)-0.053
O d. w₁2 (1)-0.196
e. None of the options
Clear my choice
Transcribed Image Text:Given the new data set (the mean is already subtracted) shown below.We would like to perform dimensionality reduction from 4 D to 3D using Generalized Hebbian Learning (GHA). Dataset X1 X2 X3 X4 0.52.2-2.83.7 Given the initialized weight matrix below( index of weights starts from 1), and the output y(0) = [-0.303, 1.712, 1.723] find the weight w12 (1) < [-0.4 -0.1 -0.24 -0.151 w (0) = -0.1 0.32 -0.14 0.18 0.48 0.2 0.09 0.35 Select one: O a. 12 (1)-0.132 O b. w₁2 (1) 0.069 = O c. w₁2 (1)-0.053 O d. w₁2 (1)-0.196 e. None of the options Clear my choice
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