Nearest Neighbor Algorithm Concepts

The video tutorial explains the nearest neighbor algorithm and its application in forming a Hamilton circuit. It emphasizes the importance of selecting a starting vertex and provides a step-by-step guide to applying the algorithm, using a weighted graph with vertices A, B, C, D, and E. The tutorial demonstrates how to choose the next vertex based on the lowest cost and concludes with calculating the total weight of the circuit.

What additional information is needed to apply the nearest neighbor algorithm?

• The type of graph

• The color of the graph

• The starting vertex

• The number of vertices

Why is it important to fix a starting vertex in the nearest neighbor algorithm?

• To make the graph colorful

• To reduce the number of vertices

• To avoid different answers

• To ensure the graph is complete

In the context of the nearest neighbor algorithm, what do the edges represent?

• Locations

• Vertices

• Roads between locations

• Colors

What is the purpose of the nearest neighbor algorithm?

• To produce a Hamilton circuit

• To find the shortest path

• To color the graph

• To reduce the number of edges

From vertex A, which vertex is the cheapest to reach?

• E

• B

• C

• D

What is the cost to travel from A to D?

• 7

• 13

• 2

• 10

After reaching D, which vertex should be visited next?

• A

• E

• B

• C

What is the cost to travel from D to C?

• 8

• 5

• 11

• 9

Which vertex is visited after C?

• A

• E

• B

• D

What is the cost to travel from C to B?

• 9

• 3

• 5

• 7