WorksheetsMachine Learning
Total questions: 10
Worksheet time: 10mins
In k-mean algorithm, K stands for
Number of data
Number of clusters
Number of attributes
Number of iterations
Can Decision Tree be used for clustering?
Yes
No
Which clustering method takes care of variance in data?
k-mean
Gaussian mixture model
Decision tree
All of the answers
Which clustering method takes care of oblong dataset?
k-mean
Gaussian mixture model
Decision tree
All of the answers
Does k-mean algorithm always converge?
Yes
No
Is Gaussian mixture model supervised?
Yes, It is supervised
No, it is unsupervised.
Is k-mean clustering supervised?
Yes, It is supervised
No, it is unsupervised.
Is Gaussian mixture model Probabilistic?
Yes, It is probabilistic.
No, it is not probabilistic.
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
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.
