
Quiz on Ward Clustering and Lance-Williamson Formula
Authored by M. GOVINDARAJ CDOE
Computers
University

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14 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary goal of Ward's clustering?
Minimize the number of clusters.
Minimize the sum of squared distances between points within clusters.
Maximize the distance between clusters.
Maximize the sum of squared distances between points within clusters.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which formula is used to define the distance between two clusters in Ward's clustering?
Manhattan distance formula.
Lance-Williamson formula.
Euclidean distance formula.
Cosine similarity formula.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In Ward's clustering, the distance between two clusters is calculated based on the:
Increase in variance caused by merging the two clusters.
Maximum distance between points in the two clusters.
Minimum distance between points in the two clusters.
Average distance between points in the two clusters.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the Within Sum of Squares measure in Ward's clustering?
The number of points in a cluster.
The increase in variance when clusters are merged.
The average distance between points in a cluster.
The total distance between all points in a cluster.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the centroid of cluster C1 = {A, C, E}?
(4, 5, 6)
(5, 6.6, 4.8)
(5.5, 7, 5.5)
(4.67, 6.33, 4.33)
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the increase in Within Sum of Squares when clusters C1 and C2 are merged?
2.998
5.123
3.456
1.234
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which linkage method is typically used with Ward's clustering?
Centroid linkage.
Average linkage.
Complete linkage.
Single linkage.
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