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Perform Principal component analysis and perform clustering using the first 3 principal component scores (both hierarchical and k mean clustering(scree plot or elbow curve) and obtain optimum number of clusters and check whether we have obtained the same number of clusters with the original data (class column we have ignored at the beginning who…

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Assignment-08-PCA-Data-Mining-Wine-data

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) PCA Implementation

Checking with other Clustering Algorithms

Hierarchical Clustering

K-Means Clustering

Build Cluster algorithm using K=3

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Perform Principal component analysis and perform clustering using the first 3 principal component scores (both hierarchical and k mean clustering(scree plot or elbow curve) and obtain optimum number of clusters and check whether we have obtained the same number of clusters with the original data (class column we have ignored at the beginning who…

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