Write a static function called "normalize" that takes a two-dimensional (2D) array of integer elements and returns normalized 2D array of elements of type double. For normalizing, the method should divide each input element with its row average (i.e., mean). For example, if a row is {1, 2, 3} then mean is (1+2+3)/3 = 2.0, and the row in result array should be {1/2.0, 2/2.0, 3/2.0} i.e., {0.5, 1.0, 1.5}. Here is the full example of 2D array: normalize(new int[][]{{1,2,3}, {3,4,5}}) should return {{0.5, 1.0, 1.5}, {0.75, 1.0, 1.25}}.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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The programming language used is Java

Write a static function called "normalize" that takes a two-dimensional (2D) array of
integer elements and returns normalized 2D array of elements of type double.
For normalizing, the method should divide each input element with its row average
(i.e., mean). For example, if a row is {1, 2, 3} then mean is (1+2+3)/3 = 2.0, and the
row in result array should be {1/2.0, 2/2.0, 3/2.0} i.e., {0.5, 1.0, 1.5}.
Here is the full example of 2D array:
normalize(new int[][]{{1,2,3}, {3,4,5}}) should return {{0.5, 1.0, 1.5}, {0.75, 1.0, 1.25}}.
For the row {3,4,5}, mean is (3+4+5)/3 = 4.0, thus the values after normalizing would
be {0.75, 1.0, 1.25}.
Transcribed Image Text:Write a static function called "normalize" that takes a two-dimensional (2D) array of integer elements and returns normalized 2D array of elements of type double. For normalizing, the method should divide each input element with its row average (i.e., mean). For example, if a row is {1, 2, 3} then mean is (1+2+3)/3 = 2.0, and the row in result array should be {1/2.0, 2/2.0, 3/2.0} i.e., {0.5, 1.0, 1.5}. Here is the full example of 2D array: normalize(new int[][]{{1,2,3}, {3,4,5}}) should return {{0.5, 1.0, 1.5}, {0.75, 1.0, 1.25}}. For the row {3,4,5}, mean is (3+4+5)/3 = 4.0, thus the values after normalizing would be {0.75, 1.0, 1.25}.
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