Text Clustering

Text Clustering

University

4 Qs

quiz-placeholder

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Text Clustering

Text Clustering

Assessment

Quiz

Business

University

Hard

Created by

Emily He

Used 3+ times

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4 questions

Show all answers

1.

MULTIPLE SELECT QUESTION

45 sec • 1 pt

K-means is an iterative algorithm, some steps need to be done repeatedly. Which are the repeated steps?

Assign each point to its nearest cluster

Update the cluster centroids based on the current assignment

Using the elbow method to choose K

Test on the test dataset

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the minimum number of variables/features required to perform clustering? 

0

1

2

3

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

If we run K-Means clustering twice, is it expected to get the same clustering results?

Yes

No

Yes, as long as we use the same data

Yes, as long as we use the same distance measure

4.

MULTIPLE SELECT QUESTION

45 sec • 1 pt

The ideal clustering results should have _

High intra-cluster similarity

Low intra-cluster similarity

High inter-cluster similarity

Low inter-cluster similarity