The video discusses the intuition for distances in boolean-valued vector spaces. Additionally, the video also talks about user-defined function to calculate distances.
Timeline
(Python 3.8)
00:00 - Outline of video
00:39 - Why? (measure distance)
02:29 - Real-valued vector spaces: Euclidean distance
04:21 - Real-valued vector spaces: Manhattan distance
05:15 - Real-valued vector spaces: Chebyshev distance
05:45 - Real-valued vector spaces: Minkowski distance
06:38 - Real-valued vector spaces: WMinkowski distance
07:24 - Real-valued vector spaces: SEuclidean distance
08:23 - Real-valued vector spaces: Mahalanobis distance
13:04 - Ending notes