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Find interesting patterns with unsupervised learning on Census-Dataset

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DataBases & DataMining

Census Dataset

This assignment is based on Pattern Recognision and Unsupvervised Learning methods on large scale data.

First extract Data.zip file to your project directory and then follow the instructions.

Directories : bin , data , plots , xps.

  • bin : All scripts.R
  • data : Initial_Data containes "census-income.data" and "names_for_R.csv" |+| Exported_data contains only "imputedola.csv"
  • plots : empty, you can find the exported plots after scripts run
  • xps : empty, you can find exported .html tables and .csv files after sripts run

Read README.txt files of each directory first.

Follow the Instruction of ReadMe.txt under /bin directory.

After you Run the scripts with the correct order You must have the following :

  • under /xps : 3 .html files and 2 csv
  • under /plots : 4 .png and 1 .pdf
  • under /data/Exported_Data : 3 .scv + "imputedola.csv" which was already there.

For more information please read Report.pdf

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