Professional Courses
Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.
Categories
Interactive Games
Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.
Typing
Memory
Math
English Adventures
Knowledge
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the main focus of unsupervised classification?
💡 Hint: Think about what kind of data this classification relies on.
Question 2
Easy
Name one algorithm used in unsupervised classification.
💡 Hint: Consider popular clustering methods.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does unsupervised classification rely on?
- Training samples
- Spectral properties
- Ground truth data
💡 Hint: Consider the absence of training in this method.
Question 2
True or False: ISODATA is a clustering algorithm that requires training samples.
- True
- False
💡 Hint: What type of classification is ISODATA associated with?
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Suppose you have satellite imagery of a forest area with varying tree types. Describe how you would apply unsupervised classification and what considerations you would account for.
💡 Hint: Think about how diversity in the forest might impact classification.
Question 2
What strategies could you use if your unsupervised classification resulted in ambiguous clusters?
💡 Hint: What might you look for to clarify your clusters?
Challenge and get performance evaluation