Reputation: 61
I'm working on a clustering program, and have a dataset of doubles that I need to normalize in order to make sure that every double (variable) has the same influence.
I would like to use min-max normalization where for every variable the min and max value are determined, but I'm not sure how I could implement this on my dataset in Java. Does anyone have any suggestions?
Upvotes: 2
Views: 13087
Reputation: 782
You can very well use StatUtils.normalize method within apache.commons.math3 library
Refer the following documentation https://commons.apache.org/proper/commons-math/javadocs/api-3.4/org/apache/commons/math3/stat/StatUtils.html#normalize(double[])
Gradle dependency is as follows
implementation 'org.apache.commons:commons-math3:3.6.1'
Maven Dependency
<!-- https://mvnrepository.com/artifact/org.apache.commons/commons-math3 -->
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-math3</artifactId>
<version>3.6.1</version>
</dependency>
Example
public static void main(String[] args) {
double[] arr = new double[]{900.68, 900.63, 900.74, 900.59, 900.49, 900.65, 900.81, 900.82, 901.03, 900.74, 900.66, 900.49, 900.52, 900.63, 900.45};
double normArr[] = StatUtils.normalize(arr);
for (int i = 0; i < normArr.length; i++) {
System.out.print(normArr[i] + ", ");
}
}
This would print out the values : 0.11787856446848383, -0.20956189238965656, 0.5108071126989968, -0.47151425787616885, -1.1263951715931941, -0.0785857096464004, 0.9692237523003934, 1.034711843672766, 2.4099617624777, 0.5108071126989968, -0.013097618274772323, -1.1263951715931941, -0.9299308974783099, -0.20956189238965656, -1.3883475370797065
Upvotes: 1
Reputation: 62555
The Encog Project wiki gives a utility class that does range normalization.
The constructor takes the high and low values for input and normalized data.
/**
* Construct the normalization utility, allow the normalization range to be specified.
* @param dataHigh The high value for the input data.
* @param dataLow The low value for the input data.
* @param dataHigh The high value for the normalized data.
* @param dataLow The low value for the normalized data.
*/
public NormUtil(double dataHigh, double dataLow, double normalizedHigh, double normalizedLow) {
this.dataHigh = dataHigh;
this.dataLow = dataLow;
this.normalizedHigh = normalizedHigh;
this.normalizedLow = normalizedLow;
You can then use the normalize
method on a sample.
/**
* Normalize x.
* @param x The value to be normalized.
* @return The result of the normalization.
*/
public double normalize(double x) {
return ((x - dataLow)
/ (dataHigh - dataLow))
* (normalizedHigh - normalizedLow) + normalizedLow;
}
To find the minimum and the maximum of your dataset, use one answer of this question : Finding the max/min value in an array of primitives using Java.
Upvotes: 7