Gaussian Discriminant Analysis produces a classifier that measures the distance of a test data point to the centroids of each class. Computing this distance is equivalent to calculating
Gaussian Discriminant Analysis produces a classifier that measures the distance of a test data point to the centroids of each class. Computing this distance is equivalent to calculating
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
Section: Chapter Questions
Problem 1PE
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Question
please explain
Gaussian Discriminant Analysis produces a classifier that measures the distance of a test data point to the centroids of each class. Computing this distance is equivalent to calculating
Selection:
a. the edit distance.
b. the mahalanobis distance.
c. the manhattan distance.
Expert Solution
Step 1
The distance measures with respect to the centroid referred as the Mahalanobis distance.
LDA(Linear Discriminant Analysis) classification is based on the Manhattan distance.
Here forward plots based on the Mahalanobis distances.
It is also considered as the weighted distance which is referred as the Mahalanobis distance.
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