A good clustering is one where
(Intra-cluster distance) the sum of distances between objects in the same cluster are minimized,
(Inter-cluster distance) while the distances between different clusters are maximized.
Purity of clustering= Sum of pure sizes of clusters/Total number of elements across clusters.
k-means method use Iterative way to improve clustering.
(Inter-cluster distance) while the distances between different clusters are maximized.
Purity of clustering= Sum of pure sizes of clusters/Total number of elements across clusters.
k-means method use Iterative way to improve clustering.
- Shu
