The distances between the objects we are clustering can be measured in several ways. Which measure is most commonly used and has the fewest weaknesses?
A) squared Euclidean distance
B) sum of the absolute differences
C) Mahalanobis distance
D) Hierarchical distance
E) Nonhierarchical distance

Question

Quizplus · Accepted Answer

Squared Euclidean distance is the most commonly used measure for calculating distance between objects in clustering due to its simplicity and efficiency in computation. It minimizes the effect of outliers and is suitable for various types of data, making it a versatile choice with relatively fewer weaknesses compared to other distance measures.

The Distances Between the Objects We Are Clustering Can Be