In this video, you will understand the various topics related to Minimum Distance Classifier and how it is used in pattern vector classification. Moreover I have taken only 2 pattern class from image dataset for simplicity. Broadly the contents are as follows:
1. What is the meaning of two pattern classes?
2. Why we use the mean vector for pattern classification?
3. Why this classifier is called "minimum"?
4. Important features of Minimum distance classifier
5. How to calculate the boundary equation for the classifier?
Chapters in the video:
0:00 Introduction
0:28 Problem Statement
1:12 Two Pattern Classes
4:12 Why mean vector?
8:20 Why minimum?
9:45 Important features
13:39 Calculation
16:12 Conclusion
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