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### scale a number between a range [duplicate]

I have been trying to achieve a system which can scale a number down and in between two ranges. I have been stuck with the mathematical part of it. What im thinking is lets say number 200 to be ...
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### What are the real benefits of normalization (scaling values between 0 and 1) in statistics? [duplicate]

I am working on student data set in which I want to normalize the range of percentage to 0,1. But I am not clear with the actual benefits of normalizing a range.
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### Data normalization choice [duplicate]

What are the main advantages and disadvantages of normalization between 0 and 1 or the other zero mean variance one algorithm? If we want to preprocess the data, how to select either of these two ...
1 vote
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### Which is better to normalize data? [duplicate]

I saw on Coursera machine learning classes that is possible to normalize data in two ways: data = (data - mean) / max(data) - min(data) or you can use an Octave ...
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### Is standardization needed before fitting logistic regression?

My question is do we need to standardize the data set to make sure all variables have the same scale, between [0,1], before fitting logistic regression. The formula is: \frac{x_i-\min(x_i)}{\max(...
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### Normalization vs. scaling

What is the difference between data 'Normalization' and data 'Scaling'? Till now I thought both terms refers to same process but now I realize there is something more that I don't know/understand. ...
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### Creating an index of quality from multiple variables to enable rank ordering

I have four numeric variables. All of them are measures of soil quality. Higher the variable, higher the quality. The range for all of them is different: Var1 from 1 to 10 Var2 from 1000 to 2000 ...
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Say there are 3 companies A, B and C. Each company has a quality rating from 0 to 100 and a price in USD. ...
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### Should I normalize featurewise or samplewise

It might be a beginner question, but I'm not sure how to normalize my data. Let's suppose I have a NxM matrix with N samples of M dimensions each. If I want to normalize my data I can do it in two ...
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### Rescaling vs Standardization of features

Is there any general rule of thumb or any justified rule to choose whether to scale a dataset using Rescaling (for each feature, subtract the min value and divid by the max - min) or Standardization (...
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### How to use the squared exponential kernel with multidimensional vector inputs?

I'm constructing an optimization (Bayesian optimization) algorithm using Java code. I have created the program, but the similarity values between inputted vectors in the kernel equation does not ...
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### Data normalization in SPSS statistics

I am analyzing the responses of a survey using spss statistics. I understand that I will need to do a Cronbach alpha first. But here is my problem: The first part of my survey is "Awareness" and ...
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### "Robust" normalization of features from multiple groups and unknown distributions prior to learning

I'm working on a machine learning project involving statistical analysis (and later discriminatory classification) of different proteins (samples) drawn from multiple, potentially overlapping classes /...
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### Is L2 normalization of rows followed by min/max scaling the same as mean-centering and unit variance?

I'm following this guide on detecting anomalies using autoencoders. The section titled "Normalising & Standardising" seems to be describing normalization in terms of scaling and shifting ...
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