Quiz 1

Quiz 1

University

10 Qs

quiz-placeholder

Similar activities

MATRICES 3

MATRICES 3

University

10 Qs

Day 11 Quiz- Matrices and Inverses, determinants

Day 11 Quiz- Matrices and Inverses, determinants

University

12 Qs

Eigenvalues & Eigenvecto

Eigenvalues & Eigenvecto

University

11 Qs

Matrix Quiz Week 2 I - CSC C

Matrix Quiz Week 2 I - CSC C

University

10 Qs

Quiz 1 (Linear Algebra)

Quiz 1 (Linear Algebra)

University

12 Qs

 Quiz 2

Quiz 2

University

10 Qs

Friday Quiz 2 by Sayed Ahmed

Friday Quiz 2 by Sayed Ahmed

10th Grade - Professional Development

7 Qs

Linear Algebra Quiz _ Week 5 - Diagonalization-Dyn. Systems

Linear Algebra Quiz _ Week 5 - Diagonalization-Dyn. Systems

University

13 Qs

 Quiz 1

Quiz 1

Assessment

Quiz

Mathematics

University

Medium

Created by

edna christopher

Used 2+ times

FREE Resource

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What operation brightens an image matrix?

Scalar multiplication

Matrix inverse

Matrix determinant

Matrix transpose

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Eigenvalues are associated with which matrix property?

Transformation scaling

Zero matrix

Diagonal elements

Rank

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

PCA stands for:

Principal Component Analysis

Principal Calculation Analysis

Projected Component Architecture

Predictive Classification Algorithm

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the effect of increasing pixel values using matrix addition?

a)Darkening

What is the effect of increasing pixel values using matrix addition?b)Color inversion

c)No effect

d)Brightening

Brightening

Darkening

Color inversion

No effect

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The eigen values of a covariance matrix from a censored data are 2,5 and 1. Identify the eigen value corresponding to first principal component.

5

2

1

3

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The matrix formed from a grayscale image is:

Polynomial

Boolean

2D numerical array

Vector

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In PCA, eigenvectors are used to:

Identify principal directions

Find the mean of the data

Shrink matrix size

Eliminate noise

Create a free account and access millions of resources

Create resources
Host any resource
Get auto-graded reports
or continue with
Microsoft
Apple
Others
By signing up, you agree to our Terms of Service & Privacy Policy
Already have an account?