Open ownznica opened 6 years ago
Euclidean distance measure the direct distance from A point to B for 2 dimensinal, typically shorter distance than Manhattan.
Which mean Manhattan will better than Eclidean due to Euclidean might easily influnce by those noise thing or outlier.
Working on continuous space where all dimensions are properly scaled and relevant, then Euclidean is going to be better choice for distance function.
If you have a space filled with exclusively countable dimensions, then Manhattan distance will make sense.
Euclidean distance measure the direct distance from A point to B for 2 dimensinal, typically shorter distance than Manhattan.
Which mean Manhattan will better than Eclidean due to Euclidean might easily influnce by those noise thing or outlier.
Working on continuous space where all dimensions are properly scaled and relevant, then Euclidean is going to be better choice for distance function.
If you have a space filled with exclusively countable dimensions, then Manhattan distance will make sense.