期末報告-- DBSCAN 學號：R05631018 姓名：曾秋旺.

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Presentation transcript:

期末報告-- DBSCAN 學號：R05631018 姓名：曾秋旺

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

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

Algorithm Introduction DBSCAN: Clustering Density-Based Spatial Clustering of Application with Noise Distance (radius ε) Nearest Neighbors → min_samples Source: http://scikit-learn.org/stable/modules/generated/sklearn.cluster.DBSCAN.html

Algorithm Introduction Limitation: Data which not contain clusters of similar density Source: http://scikit-learn.org/stable/modules/generated/sklearn.cluster.DBSCAN.html

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

Code Review Source: TAs

Code Review

Code Review Source: TAs

Code Review

Code Review Source: TAs

Code Review

Code Review Source: TAs

Code Review

Code Review

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

Model Preview Procedure: Data pre-processing Clusters counting Scatter

Model Preview 1. Data pre-processing

Model Preview 2. Clusters counting Source: http://scikit-learn.org/stable/modules/generated/sklearn.cluster.DBSCAN.html

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

Model Preview Github: https://github.com/WarrenTseng/DM2017_final_model_preview 免責聲明

Model Preview

Model Preview

Model Preview

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

Live Demo InAnalysis: http://ntuesoe.com:8008/

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

Conclusion The procedure of data mining System design

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

Reference Scikit-Learn: http://scikit-learn.org/stable/modules/generated/sklearn.cluster.DBSCAN.html Wikipedia: https://zh.wikipedia.org/wiki/DBSCAN

Thanks for your attention