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Quiz on Unsupervised Learning and Clustering

Authored by GEORGE NG

Computers

University

Used 3+ times

Quiz on Unsupervised Learning and Clustering
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14 questions

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1.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Media Image

What is the primary goal of clustering in unsupervised learning?

To reduce dimensionality of data

To classify data into predefined categories

To find natural groupings in data

To predict future outcomes

2.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Media Image

Which of the following is a type of hierarchical clustering?

K-means clustering

Agglomerative clustering

DBSCAN

Fuzzy C-Means

3.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Media Image

What does the K in K-means represent?

The number of features

The number of clusters

The number of iterations

The number of data points

4.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Which clustering algorithm allows for overlapping clusters?

Agglomerative clustering

DBSCAN

K-means

Fuzzy C-Means

5.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

What is the main disadvantage of K-means clustering?

It can only form spherical clusters

It cannot handle noise

It requires the number of clusters to be specified in advance

It is computationally expensive

6.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Media Image

What does DBSCAN stand for?

Density-Based Spatial Clustering of Applications with Noise

Density-Based Statistical Clustering of Applications with Noise

Dynamic-Based Statistical Clustering of Applications with Noise

Dynamic-Based Spatial Clustering of Applications with Noise

7.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Which method is used to determine the optimal number of clusters in K-means?

Silhouette analysis

Elbow method

Dendrogram analysis

Variance analysis

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