Cluster scoring tradeoff calinsky vs sihouette
I am performing hierarchical clustering with a range of n_clusters value and computing both calinsky and silhouette scores to determine the optimal n_clusters value. However, I am observing a tradeoff between the two and do not know which one to choose over the other as they are in different scales.
At first, it seems intuitive to choose n = 105 but while the silhouette score is in decline, the calinski score keeps going up and up
python cluster-computing cluster-analysis silhouette
edited Nov 13 '18 at 20:10
Graham
3,557133559
asked Nov 13 '18 at 18:21
tkimtkim
62
add a comment |
I am performing hierarchical clustering with a range of n_clusters value and computing both calinsky and silhouette scores to determine the optimal n_clusters value. However, I am observing a tradeoff between the two and do not know which one to choose over the other as they are in different scales.
At first, it seems intuitive to choose n = 105 but while the silhouette score is in decline, the calinski score keeps going up and up
python cluster-computing cluster-analysis silhouette
edited Nov 13 '18 at 20:10
Graham
3,557133559
asked Nov 13 '18 at 18:21
tkimtkim
62
Don't consider them to be "optimal". They are heuristics, and they only suggest a value. There is no guarantee that the value works "best" for the actual user.
– Anony-Mousse
Nov 13 '18 at 22:04
add a comment |
I am performing hierarchical clustering with a range of n_clusters value and computing both calinsky and silhouette scores to determine the optimal n_clusters value. However, I am observing a tradeoff between the two and do not know which one to choose over the other as they are in different scales.
At first, it seems intuitive to choose n = 105 but while the silhouette score is in decline, the calinski score keeps going up and up
python cluster-computing cluster-analysis silhouette
edited Nov 13 '18 at 20:10
Graham
3,557133559
asked Nov 13 '18 at 18:21
tkimtkim
62
I am performing hierarchical clustering with a range of n_clusters value and computing both calinsky and silhouette scores to determine the optimal n_clusters value. However, I am observing a tradeoff between the two and do not know which one to choose over the other as they are in different scales.
At first, it seems intuitive to choose n = 105 but while the silhouette score is in decline, the calinski score keeps going up and up
python cluster-computing cluster-analysis silhouette
python cluster-computing cluster-analysis silhouette
edited Nov 13 '18 at 20:10
Graham
3,557133559
asked Nov 13 '18 at 18:21
tkimtkim
62
edited Nov 13 '18 at 20:10
Graham
3,557133559
asked Nov 13 '18 at 18:21
tkimtkim
62
edited Nov 13 '18 at 20:10
Graham
3,557133559
edited Nov 13 '18 at 20:10
Graham
3,557133559
edited Nov 13 '18 at 20:10
Graham
3,557133559
3,557133559
asked Nov 13 '18 at 18:21
tkimtkim
62
asked Nov 13 '18 at 18:21
tkimtkim
62
asked Nov 13 '18 at 18:21
tkimtkim
62
62
Don't consider them to be "optimal". They are heuristics, and they only suggest a value. There is no guarantee that the value works "best" for the actual user.
– Anony-Mousse
Nov 13 '18 at 22:04
add a comment |
Don't consider them to be "optimal". They are heuristics, and they only suggest a value. There is no guarantee that the value works "best" for the actual user.
– Anony-Mousse
Nov 13 '18 at 22:04
Don't consider them to be "optimal". They are heuristics, and they only suggest a value. There is no guarantee that the value works "best" for the actual user.
– Anony-Mousse
Nov 13 '18 at 22:04
Don't consider them to be "optimal". They are heuristics, and they only suggest a value. There is no guarantee that the value works "best" for the actual user.
– Anony-Mousse
Nov 13 '18 at 22:04
add a comment |
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Don't consider them to be "optimal". They are heuristics, and they only suggest a value. There is no guarantee that the value works "best" for the actual user.
– Anony-Mousse
Nov 13 '18 at 22:04