Data Mining (3160714) MCQs

MCQs of Cluster Analysis

Showing 1 to 8 out of 8 Questions
1.

______ partitions the objects into different groups.

(a)

Mapping
(b)

Clustering
(c)

Classification
(d)

Prediction
Answer:

Option (b)

2.

Which of the following is required by K-means clustering?

(a)

Defined distance metric
(b)

Number of clusters
(c)

Initial guess as to cluster centroids
(d)

All of the above
Answer:

Option (d)

3.

In the K-means algorithm for partitioning, each cluster is represented by the ___ of objects in the cluster.

(a)

Means
(b)

Medians
(c)

Modes
(d)

Members
Answer:

Option (a)

4.

Clustering is _______

(a)

Supervised learning
(b)

Unsupervised learning
(c)

A & B Both
(d)

None of Above
Answer:

Option (b)

5.

Which of the following is cluster analysis?

(a)

Simple segmentation
(b)

Grouping similar objects
(c)

Labeled Classification
(d)

Query Results Grouping
Answer:

Option (b)

6.

A good clustering method will produce high quality clusters with

(a)

High inter class similarity
(b)

Low intra class similarity
(c)

High intra class similarity
(d)

No inter class similarity
Answer:

Option (c)

7.

The learning which is used to find the hidden pattern in unlabeled data is called?

(a)

Unsupervised Learning
(b)

Supervised Learning
(c)

Reinforcement Learning
(d)

None of above
Answer:

Option (a)

8.

Euclidean distance measure is

(a)

A stage of the KDD process in which new data is added to the existing selection.
(b)

The process of finding a solution for a problem simply by enumerating all possible solutions according to some pre-defined order and then testing them
(c)

The distance between two points as calculated using the Pythagoras theorem
(d)

None of these
Answer:

Option (c)

Showing 1 to 8 out of 8 Questions