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- 1. Multiple Choice
In k-mean algorithm, K stands for
Number of data
Number of clusters
Number of attributes
Number of iterations
- 2. Multiple Choice
Can Decision Tree be used for clustering?
Yes
No
- 3. Multiple Choice
Which clustering method takes care of variance in data?
k-mean
Gaussian mixture model
Decision tree
All of the answers
- 4. Multiple Choice
Which clustering method takes care of oblong dataset?
k-mean
Gaussian mixture model
Decision tree
All of the answers
- 5. Multiple Choice
Does k-mean algorithm always converge?
Yes
No
- 6. Multiple Choice
Is Gaussian mixture model supervised?
Yes, It is supervised
No, it is unsupervised.
- 7. Multiple Choice
Is k-mean clustering supervised?
Yes, It is supervised
No, it is unsupervised.
- 8. Multiple Choice
Is Gaussian mixture model Probabilistic?
Yes, It is probabilistic.
No, it is not probabilistic.
- 9. Multiple Choice
In Gaussian mixture model clustering, the number of Gaussian distribution functions used is equal to
Number of clusters
Number of attributes
Number of instances
Number of iterations
- 10. Multiple Choice
Which among the following is not true for a Bayesian classifier?
A (natural) class is to predict the values of features for members of that class.
It is a probabilistic model.
It is based on Bayes' theorem.
It is not used in data mining.
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