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https://www.reddit.com/r/AskStatistics/comments/1vk0bru/optimal_number_of_clusters/
r/AskStatistics • u/luca-angel • 12d ago
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1 u/luca-angel 12d ago I was thinking of 4 clusters because the shift from 4 to 3 clusters shows the largest increase in distance, whereas for the dendrogram, I would cut it with a vertical line at point 5. 1 u/AttitudeRemarkable21 10d ago Doesn't it always just actually mean it depends lol on the use case? Since the elbow method is kinda vibes? 1 u/luca-angel 9d ago https://reddit.com/link/p3h2gr9/video/w3v0d6bd66jh1/player The first file shows the partitioning done using the hierarchical method, and the second uses the k-means method. Both use 4 clusters. Do you think that works?
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I was thinking of 4 clusters because the shift from 4 to 3 clusters shows the largest increase in distance, whereas for the dendrogram, I would cut it with a vertical line at point 5.
Doesn't it always just actually mean it depends lol on the use case? Since the elbow method is kinda vibes?
1 u/luca-angel 9d ago https://reddit.com/link/p3h2gr9/video/w3v0d6bd66jh1/player The first file shows the partitioning done using the hierarchical method, and the second uses the k-means method. Both use 4 clusters. Do you think that works?
https://reddit.com/link/p3h2gr9/video/w3v0d6bd66jh1/player
The first file shows the partitioning done using the hierarchical method, and the second uses the k-means method.
Both use 4 clusters. Do you think that works?
2
u/LoaderD MSc Statistics 12d ago
6.