README Ajit Chavhan 26/11/2020
Principal component analysis Program
File Structure: readme.txt wine_clust Inferance_report analysis
Development Environment: My script was developed RStudio Version 1.3.1056
Usage: Install RStudio. Open file in RStudio and change the code according to you dataset for various situations and run it.
File Description wine_clust- Script file in R language covering wine dataset scenario 50_startups prediction - Report file which demonstrate my approach towards result for 50 start up dataset Inferance_report- Report file which demonstrate my approach towards result for winde dataset analysis- This file contains the different outcome of r function to observe the output and act accordingly on wine dataset
objective:- Perform Principal component analysis and perform clustering using first 3 principal component scores (both heirarchial and k mean clustering(scree plot or elbow curve) and obtain optimum number of clusters and check whether we have obtained same number of clusters with the original data (class column we have ignored at the begining who shows it has 3 clusters)df
Note :- I have added some png files which are the different graphs on both the datasets for EDA and result observation purpose. Also added the snapshot of both the datasets.