Tables index

From

Incorporating K-means, Hierarchical Clustering and PCA in Customer Segmentation

Azad Abdulhafedh

Journal of City and Development. 2021, 3(1), 12-30
  • Table 1. basic statistics of the clusters resulted from the Hierarchical clustering
  • Table 2. basic statistics of the clusters resulted from applying the K-means
  • Table 3. different validation metrics for the Hierarchical and K-means clustering
  • Table 4. The importance of initial principal components Importance of components
  • Table 5. the eigen values and variance% of the initial PCs (dimensions)
  • Table 6. data frame of the 5 optimal PCs
  • Table 7. the variance explained by the optimal PCs
  • Table 8. basic statistics for the clusters resulted from the PCA
  • Table 9. validation metrics for the updated K-means clustering