"Clustering Algorithms"

Question 1

How can clustering be applied to public transport planning?

Think about grouping users by location.

Answer 1

To identify passenger groups (by location) that could be efficiently served by the same bus stop.

This helps in optimizing stop locations to serve clusters of demand.

Question 2

How can clustering be used in freight and delivery services?

Think about grouping destinations.

Answer 2

To identify delivery customers that could be grouped together and served by the same truck route.

This minimizes total travel distance and improves delivery efficiency.

Question 3

Multiple Choice

What is the fundamental input for a clustering problem?
A) A collection of elements with a common set of properties.
B) A pre-defined set of group labels.
C) A single element to be classified.

The algorithm needs data to analyze for similarities.

Answer 3

A) A collection of elements with a common set of properties.

The properties (e.g., income, location, travel frequency) are used to me

Question 4

Definition

What is the elbow method?

Answer 4

The elbow method is a generic technique that is used to determine the optimal number of
clusters in a dataset.

Question 5

Simple Q&A

What is a disadvantage of the elbow method?

Answer 5

It does not take into account any further operational aspects of the problem.