What is Normalize or Standardize?

Thomas Bayes


(Normalize|Standardize) is a scale transformation on a numeric variable distribution to have:

  • zero as mean (See Z score)
  • the max and the min of the distribution into a given numeric range (normally between -1 and 1)
  • zero mean and unit variance

The transformation to a Z scale is a standardization.

By normalizing, you get your data (variable) between 0 and 1 so the calculations aren't skewed by some attribute that happens to be on some gigantic scale


To Standardize a variables, you take the variable value and you divide it by the standard deviation of that variable over all the observations. See Statistics - Z Score (Zero Mean) or Standard Score

A standardize variable makes the variable and their coefficients comparable when they have different unit.

Discover More
Scale Counter Graph
Counter - Error Rate

Errrors rate is a SLI metrics that captures the number of errors (resources (memory, disk) or process (timeout)) that occurs. The error rate metrics is generally expressed as a rate of errors (per unit...
P Value Pipeline
Data Mining - (Life cycle|Project|Data Pipeline)

Data mining is an experimental science. Data mining reveals correlation, not causation. With good data, you will make good algorithm. The most preferable solution is then to work on good features....
Biplot Pca R
R - Principal Component Analysis

in R. Package stats where: scale=TRUE will standardize the variables in order to take into account the different unity. The data The variables associated (names) Unclass will show...
Image Intrinsic Dimension
Raster Image - Feature (Image Properties)

A feature is property of an image. intensity, color, texture. For the whole image For a set of pixel. Local features provide a limited set of well localized and individually identifiable...
Thomas Bayes
Statistics - (Logit|Logistic) (Function|Transformation)

The logit transform is a S-shaped curve that applies a softer function. It's a soft function of a step function: Never below 0, never above 1 and a smooth transition in between. where: ...
Univariate Linear Regression
Statistics - (Univariate|Simple|Basic) Linear Regression

A Simple Linear regression is a linear regression with only one predictor variable (X). Correlation demonstrates the relationship between two variables whereas a simple regression provides an equation...
Thomas Bayes
Statistics - Little r - (Pearson product-moment Correlation coefficient)

The Pearson product-moment correlation coefficient is a correlation coefficient formulas that can be applied when both variables are continuous. The correlation is the standardized Covariance as...
Ridge Regression Lambda Versus Standardized Coefficients
Statistics - Ridge regression

Ridge regression is a shrinkage method. It was invented in the '70s. The least squares fitting procedure estimates the regression parameters using the values that minimize RSS. In contrast, the...
Normal Distribution Z Scale
Statistics - Standard Deviation (SD|s| |RMS width)

The standard deviation is the average deviation from the mean in a distribution. If you have a mean of 95% and a standard deviation of 2% in a normal distribution, 68% of the data are between 93% and...
Text Mining
What are models of text in NLP? (Natural Language, Text Modeling)

This page talks model creation for natural language text. ie how to store and represent text ? Let's say that you want to search in a list of documents, documents that are similar on 2 dimensions,...

Share this page:
Follow us:
Task Runner