3.5.2. Unsupervised Classification

Try these first

1. 1.

   What is unsupervised classification?

   Hint

   Think about what 'unsupervised' means in a broader context.

2. 2.

   Name one algorithm used in unsupervised classification.

   Hint

   This algorithm helps create clusters by measuring similarity.

3. 3.

   What is the primary method of unsupervised classification?

   • Supervised Learning
   • K-means
   • None of the Above

   Hint

   Recall the techniques discussed earlier.

4. 4.

   True or False: Unsupervised classification can use training data.

   • True
   • False

   Hint

   Think about the definition of 'unsupervised'.

5. 5.

   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.

6. 6.

   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.