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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 factoextra. Additionally, it visualizes the impact of reducing dimensions on clustering.
SpectreAH/Dimensionality-Reduction-and-Clustering-IRIS-Dataset
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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 factoextra. Additionally, it visualizes the impact of reducing dimensions on clustering.