Minkowski distance is a metric in a normed vector space. Minkowski distance is used for distance similarity of vector. Given two or more vectors, find distance similarity of these vectors.
Mainly, Minkowski distance is applied in machine learning to find out distance similarity.
Input : vector1 = 0 2 3 4 vector2 = 2, 4, 3, 7 p = 3 Output : distance1 = 3.5033 Input : vector1 = 1, 4, 7, 12, 23 vector2 = 2, 5, 6, 10, 20 p = 2 Output : distance2 = 4.0
Note : Here distance1 and distance2 are almost same so it will be in same near region.
Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.
To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.