About This project uses K-Means Clustering, an unsupervised machine learning algorithm, to perform customer segmentation based on various attributes such as spending habits, purchasing frequency, and ...
This project carried out in R applies PCA for dimensionality reduction and K-Means for clustering on the IRIS dataset. It includes EDA, PCA variance analysis, and cluster evaluation using ggplot2 and ...
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