scientimate.similaritymeasure

d = scientimate.similaritymeasure(x, y, CalcMethod='euclidean', dispout='no')

Description

Measure similarity between two arrays

Inputs

x
First array, its similarity is measured against y array
y
Second array, its similarity is measured against x array
CalcMethod=’euclidean’
Similarity calculation method
‘euclidean’: Euclidean distance
‘manhattan’: Manhattan distance
‘minkowski’: Minkowski distance (power=3)
‘cosine’: Cosine distance
‘pearson’: Pearson’s correlation coefficient
‘spearman’: spearman’s correlation coefficient
‘norm’: Absolute difference of norm
‘covariance’: Covariance
‘inv_covariance’: Euclidean distance of inverse covariance
‘histogram’: Mean of absolute difference of histogram
t-test’: Two-sample t-test statistic
dispout=’no’
Define to display outputs or not (‘yes’: display, ‘no’: not display)

Outputs

d
Arrays similarity measure

Examples

import scientimate as sm
import numpy as np

x=[0,2,4,6]
y=[2,3,5,7]
d=sm.similaritymeasure(x,y,'euclidean','yes')

x=[1,2,3,4,5,6,7,8,9,10]
y=[1.1,1.98,3.3,4.2,4.8,5.95,7.5,7.7,8.99,10.5]
d=sm.similaritymeasure(x,y,'pearson','yes')