Hi everyone I am comparing two models clusters statistics to know which one is "better", but the output or model summary varies on the algorithm used. Both models have the same data and the same amount of clusters.
In the first case, I am using a K-means model with this output (2 clusters and 550 k records)
Within Cluster Sum of Squares: 1654899.906 Tota Sum of Squares: 2199995.999 Between Cluster Sum of Squares: 545096.093
In the second model, I am using a Fuzzy C-means model with this output (2 clusters and 550 k records)
WithinClusterVariations: Cluster 0: 0.4302769175698618 Cluster 1: 0.4327265950620389 BetweenClusterVariation: 0.2639113453058912
I wonder if there is a way to know with the above information if one cluster is better than other.