Minkowski Distance: Importance in Data Mining and Machine Learning

Описание: I discussed the Minkowski distance, its importance in data mining and machine learning, and its applications in similarity and dissimilarity measurements. I explained that the Minkowski distance is a flexible formula that generalizes many common distances, with the parameter r determining the flavor of the distance. I also mentioned that larger r values give more weight to larger coordinate differences. I provided examples of the Minkowski distance in text mining, recommender systems, and nearest neighbor search, and emphasized its role in ensuring meaningful model outputs.