Practice Unsupervised Classification (3.5.2)

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9 questions

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6 sample questions

Question 1.
What is unsupervised classification?
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Think about what 'unsupervised' means in a broader context.
Question 2.
Name one algorithm used in unsupervised classification.
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This algorithm helps create clusters by measuring similarity.
3Question 3.
What is the primary method of unsupervised classification?
- Supervised Learning
- K-means
- None of the Above
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Recall the techniques discussed earlier.
4Question 4.
True or False: Unsupervised classification can use training data.
- True
- False
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Think about the definition of 'unsupervised'.
Question 5.
Considering practical use cases, design your approach for utilizing unsupervised classification for identifying regions of deforestation in a satellite image dataset.
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Think about time-lapse analysis and feature extraction.
Question 6.
How would you improve the accuracy of an unsupervised classification algorithm, and what methods would you employ?
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Consider how different image qualities and conditions affect final output.

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