Question

Which of the following statement is not correct?
i) While training a model, the machine classifies images on the basis of labels and
predicts the correct label for test data
ii) Mapping function from the given data is generated in clustering
iii) In clustering data sets are grouped on the basis of similarities and differences.
iv) On reduction , machine cannot make sense, out of the data

a) (i),(iv) and (iii) only
b) (i),(ii) and (iii) only
c) (ii),(iii) and (iii) only
d) (i),(ii) and (iv) only

Answer 1

Answer:

(i),(ii),and(iv)only

Answer 2

The false statements are:

In clustering data sets are grouped on the basis of similarities and differences.

On reduction , machine cannot make sense, out of the data

Explanation:

While training a model, the machine classifies images on the basis of labels and  predicts the correct label for test data and then the image classification is done.

In each iteration of k-means clustering, one can map each point to the centroid which is closest to this point depending on the difference between the two points.

Reducing the dimension of data will take less time to train a model but it can train the model.