Isomap for Dimensionality Reduction in Python

Python - Pairwise distances of n-dimensional space array

Last Updated : 10 Jan, 2020

scipy.stats.pdist(array, axis=0) function calculates the Pairwise distances between observations in n-dimensional space.

Parameters : array: Input array or object having the elements to calculate the Pairwise distances axis: Axis along which to be computed. By default axis = 0 Returns : Pairwise distances of the array elements based on the set parameters.

Code #1 : 2D Array

Python3 1==

from scipy.spatial.distance import pdist

arr1 = pdist([[1, 3, 27], 
             [3, 6, 8]]) 

print("Arithmetic Mean is :", arr1)

Output:

Value of pdist is : [19.33907961]

Code #2 : 3D Array

Python3 1==

from scipy.spatial.distance import pdist
 
arr1 = [[1, 3, 27],  
        [3, 4, 6],  
        [7, 6, 3],  
        [3, 6, 8]]  
   
print("Arithmetic Mean is :", pdist(arr1))

Output:

Value of pdist is : [21.11871208 24.91987159 19.33907961  
                    5.38516481  2.82842712  6.40312424]

Isomap for Dimensionality Reduction in Python

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