7. Clustering & Dimension Reduction (IB533 2026.09)

Unit Outlines：

◆ Exploration : Comparing the Subject’s Attributes

◆ Data Summary => Visualization => Methods

◆ Multi-Variable => Multi-Dimension Space

◆ Clustering: Groups of Similar Subjects

◆ Dimension Reduction: Reduce No. Variables

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Unit Notebook：

◆ Wholesales Data (unit07A.html)

◆ Airline Customer Segmentation (unit07B.html)

◆ Decathlon Athletes (unit07C.html)

◆ Perception Map (unit07D.html)

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Google Drive： 

◆ Unit07:  [ ~/ib533/unit07_Clustering/ ]

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Unit07 Assignment： Due: 2025/10/26 (Mon.) 23:59

Group Assignment: 

Discuss with your team member to answer the questions in unit07A/B/D.Rmd,  

Knit the html files and upload to

[ ~/group/Group#/ ] with filenames “G#_unit07A/B/D.html”

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參考連結：

◆  From Data to Viz

◆  Portal of Big Data BA Platform

◆  R: Self Learning Roadmap

◆  John Hopkins: R Programming online course

◆  John Hopkins: R Programming eBook

◆  Harvard: Data Science online course

◆  Harvard: Data Science ebook

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◆ Week07 Video Recording

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