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期末報告-- DBSCAN 學號：R05631018 姓名：曾秋旺.

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Presentation on theme: "期末報告-- DBSCAN 學號：R05631018 姓名：曾秋旺."— Presentation transcript:

1 期末報告-- DBSCAN 學號：R 姓名：曾秋旺

2 Algorithm Introduction
Outline Algorithm Introduction Code Review Model Preview Live Demo Conclusion Reference

3 Algorithm Introduction
Outline Algorithm Introduction Code Review Model Preview Live Demo Conclusion Reference

4 Algorithm Introduction
DBSCAN: Clustering Density-Based Spatial Clustering of Application with Noise Distance (radius ε) Nearest Neighbors → min_samples Source:

5 Algorithm Introduction
Limitation: Data which not contain clusters of similar density Source:

6 Algorithm Introduction
Outline Algorithm Introduction Code Review Model Preview Live Demo Conclusion Reference

7 Code Review Source: TAs

8 Code Review

9 Code Review Source: TAs

10 Code Review

11 Code Review Source: TAs

12 Code Review

13 Code Review Source: TAs

14 Code Review

15 Code Review

16 Algorithm Introduction
Outline Algorithm Introduction Code Review Model Preview Live Demo Conclusion Reference

17 Model Preview Procedure: Data pre-processing Clusters counting Scatter

18 Model Preview 1. Data pre-processing

19 Model Preview 2. Clusters counting
Source:

20 Model Preview 3. Scatter import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

21 Model Preview Github: 免責聲明

22 Model Preview

23 Model Preview

24 Model Preview

25 Algorithm Introduction
Outline Algorithm Introduction Code Review Model Preview Live Demo Conclusion Reference

26 Live Demo InAnalysis:

27 Algorithm Introduction
Outline Algorithm Introduction Code Review Model Preview Live Demo Conclusion Reference

28 Conclusion The procedure of data mining System design

29 Algorithm Introduction
Outline Algorithm Introduction Code Review Model Preview Live Demo Conclusion Reference

30 Reference Scikit-Learn: Wikipedia:

31 Thanks for your attention

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