Predictors of Depression During the Covid-19 Pandemic

K-Medoids Clustering part 2: Cluster Visuals

1 Cluster validation statistics for different cluster sizes

1.1 Dunn index 1 (higher better)

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1.2 Dunn index 2 (higher better)

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1.3 Average Silhoutte Width (higher better)

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1.4 Pearson Gamma (higher better)

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1.5 Separation Index (higher better)

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1.6 Calinski & Harabasz index (higher better)

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1.7 Avg. distance within clusters (higher better)

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1.8 Avg. distance between clusters (higher better)

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1.9 Widest within-cluster gap (lower better)

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2 t-SNE Visualization for different cluster sizes

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3 Interpretation of clusters using relative values for each variable

3.1 2 clusters

3.2 3 clusters

3.3 4 clusters

3.4 5 clusters

3.5 6 clusters

3.6 7 clusters

3.7 8 clusters

3.8 9 clusters

3.9 10 clusters

3.10 11 clusters

3.11 12 clusters

3.12 13 clusters

3.13 14 clusters

3.14 15 clusters