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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is Euclidean distance in your own words?
π‘ Hint: Think about the straight-line distance you would measure with a ruler.
Question 2
Easy
Calculate the Manhattan distance between points (2, 3) and (5, 7).
π‘ Hint: Remember to sum the absolute differences for each dimension.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does Euclidean distance measure?
π‘ Hint: Think about the most direct route between two points.
Question 2
True or False: Manhattan distance and Euclidean distance are always equivalent.
π‘ Hint: Consider how each calculation handles coordinate differences.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
You have points A(1, 2), B(4, 6), and C(3, 3) on a 2D grid. Calculate the distances between these points using both Euclidean and Manhattan metrics and analyze which metric is more suitable under which conditions.
π‘ Hint: Use the distance formulas for calculations!
Question 2
Discuss the implications of using Minkowski distance with p=3 compared to p=1 and p=2 in terms of neighbor selection for k-NN, especially in high-dimensional data.
π‘ Hint: Consider how distance affects clustering in high dimensions.
Challenge and get performance evaluation