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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is unsupervised classification?
💡 Hint: Think about what 'unsupervised' means in a broader context.
Question 2
Easy
Name one algorithm used in unsupervised classification.
💡 Hint: This algorithm helps create clusters by measuring similarity.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the primary method of unsupervised classification?
💡 Hint: Recall the techniques discussed earlier.
Question 2
True or False: Unsupervised classification can use training data.
💡 Hint: Think about the definition of 'unsupervised'.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Considering practical use cases, design your approach for utilizing unsupervised classification for identifying regions of deforestation in a satellite image dataset.
💡 Hint: Think about time-lapse analysis and feature extraction.
Question 2
How would you improve the accuracy of an unsupervised classification algorithm, and what methods would you employ?
💡 Hint: Consider how different image qualities and conditions affect final output.
Challenge and get performance evaluation