Machine Learning

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.