
ML_WEEK7_QUIZ
Authored by Kenny KenWJ
Information Technology (IT)
University

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15 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is K-Means clustering primarily used for?
Classification of labeled data
Clustering of unlabeled data
Feature selection
Anomaly detection
2.
MULTIPLE SELECT QUESTION
30 sec • 1 pt
What are common criteria for K-Means to converge? (Select all that apply)
Maximum number of iterations reached
No points change their assigned cluster
Cluster centroids stop moving significantly
Sum of squared errors (SSE) increases
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
There are 2 main types of HIERARCHICAL CLUSTERING, which is agglomerative and division.
the key difference between Agglomerative and Division Hierarchical Clustering is,
Agglomerative starts with individual points, while Division starts with one cluster.
TRUE
FALSE
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which type of clustering is often used in natural language processing?
Euclidean Distance
Manhattan Distance
Cosine Similarity
Tension-Vector Similarity
5.
MULTIPLE SELECT QUESTION
30 sec • 1 pt
Which of the following is a common linkage criterion used in Hierarchical Clustering? (Select all that apply)
Single Linkage
Complete Linkage
Mean Squared Linkage
Integration Linkage
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In Spectral Clustering, what is the purpose of computing the Graph Laplacian Matrix?
To randomly assign data points to clusters
To transform the data into a lower-dimensional space for better clustering
To determine the number of clusters directly
To eliminate noise from the dataset before clustering
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is valid in steps of K-means algorithms?
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