Java Array Normalize normalizeMatrix(float[] cm)

Description

Normalizes the matrix to values to [0..1].

License

Apache License

Parameter

Parameter	Description
cm	The matrix to be normalized.

Declaration

public static void normalizeMatrix(float[] cm) 

Method Source Code

//package com.java2s;
/*//from   ww  w  .  j a  va 2s  .  co  m
 Copyright 2005, 2006 by Gerald Friedland and Kristian Jantz

 Licensed under the Apache License, Version 2.0 (the "License");
 you may not use this file except in compliance with the License.
 You may obtain a copy of the License at

 http://www.apache.org/licenses/LICENSE-2.0

 Unless required by applicable law or agreed to in writing, software
 distributed under the License is distributed on an "AS IS" BASIS,
 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 See the License for the specific language governing permissions and
 limitations under the License.
 */

public class Main {
    /**
     * Normalizes the matrix to values to [0..1].
     *
     * @param cm The matrix to be normalized.
     */
    public static void normalizeMatrix(float[] cm) {
        float max = 0.0f;
        for (int i = 0; i < cm.length; i++) {
            if (max < cm[i]) {
                max = cm[i];
            }
        }
        if (max <= 0.0) {
            return;
        } else if (max == 1.00) {
            return;
        }
        final float alpha = 1.00f / max;
        premultiplyMatrix(alpha, cm);
    }

    /**
     * Multiplies matrix with the given scalar.
     *
     * @param alpha The scalar value.
     * @param cm The matrix of values be multiplied with alpha.
     */
    public static void premultiplyMatrix(float alpha, float[] cm) {
        for (int i = 0; i < cm.length; i++) {
            cm[i] = alpha * cm[i];
        }
    }
}

Related

1. normalizeL2(double[] a)
2. normalizeL2(double[] histogram)
3. normalizeLengthInPlace(double[] in)
4. normalizeLog(double[] logs)
5. normalizeMatrix(double[][] M)
6. normalizeMemberNames(final String[] memberNames)
7. normalizePositiveValues(double[][] array)
8. normalizeProb(double[] prob)
9. normalizeRecorderColumn(int column, int tabSize, int[] tabIndices)