Lecture 7 Simple Classifier KNN Alireza Akhavan Pour
- Slides: 8
Lecture 7: Simple Classifier (KNN) Alireza Akhavan Pour CLASS. VISION SRTTU – A. Akhavan Lecture 7 - 1 ۱۳۹۶ ﺍﺳﻔﻨﺪ ۱۶ – چﻬﺎﺭﺷﻨﺒﻪ
The k-Nearest Neighbor Classifier • Objectives: By the end of this lesson, you will: – Have an understanding of the k-Nearest Neighbor classifier. – Know how to apply the k-Nearest Neighbor classifier to image datasets. – Understand how the value of k impacts classifier performance. SRTTU – A. Akhavan Lecture 7 - 2 ۱۳۹۶ ﺍﺳﻔﻨﺪ ۲۲ – ﺳﻪﺷﻨﺒﻪ
1 -Nearest Neighbor SRTTU – A. Akhavan Lecture 7 - 5 ۱۳۹۶ ﺍﺳﻔﻨﺪ ۲۲ – ﺳﻪﺷﻨﺒﻪ
3 -Nearest Neighbor SRTTU – A. Akhavan Lecture 7 - 6 ۱۳۹۶ ﺍﺳﻔﻨﺪ ۲۲ – ﺳﻪﺷﻨﺒﻪ
Voronoi Diagram • Decision surface formed by the training examples SRTTU – A. Akhavan Lecture 7 - 7 ۱۳۹۶ ﺍﺳﻔﻨﺪ ۲۲ – ﺳﻪﺷﻨﺒﻪ
• https: //www. csee. umbc. edu/courses/671/fall 01/class-notes/k-nn. ppt • https: //gurus. pyimagesearch. com/lessonsample-k-nearest-neighbor-classification/ SRTTU – A. Akhavan Lecture 7 - 8 ۱۳۹۶ ﺍﺳﻔﻨﺪ ۲۲ – ﺳﻪﺷﻨﺒﻪ
