17 types of similarity and dissimilarity measures used in data science

 By Medium - 2021-03-15

Description

In data science, the similarity measure is a way of measuring how data samples are related or closed to each other. On the other hand, the dissimilarity measure is to tell how much the data objects…

Summary

  • The following article explains various methods for computing distances and showing their instances in our daily lives.
  • Besides that, L1-norm and L2-norm are commonly used in Regularization for a neural network to minimize the weights or zero out some values, like the one used on lasso regression.
  • The red point is more likely similar to the data set.
  • In other terms, the euclidean distance will be highly influenced by attributes that have the largest values.

 

Topics

  1. Backend (0.39)
  2. Database (0.18)
  3. Machine_Learning (0.15)

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