7b. Clustering & Dimension Reduction (IB533 2022.09)

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

Unit Notebook:
◆ Wholesales Data (unit07A.html)
◆ Airline Customer Segmentation (unit07B.html)
◆ Decathlon Athletes (unit07C.html)
◆ Perception Map (unit07D.html)

Google Drive: 
◆ Course Material : [  ~/ib533/ ]
◆ Unit07:  [ ~/ib533/07b_clustering/ ]

Unit07b Assignment: Due: 2022/11/06 (Sun.) 23:59
Group Assignment: Midterm Report
Applying the EDA techniques we’ve learned to the Tafeng data
Knit your final exploration notebook and upload the HTML file to
[ ~/team/Group#/ ] with filename “G#_Midterm.html”
Prepare a 8 minutes presentation to be delivered in the class of 12/06
[ ~/team/Group#/ ] with filename “G#_Midterm.pptx”

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

◆ Week07c Video Recording