Hierarchical clustering linkage methodScipy linkage() function returning inconsistent resultsPython hierarchical clustering visualization dump [scipy]How to handle catagorical data while training decision tree using scikit-learn/ sklearn?How do I plug distance data into scipy's agglomerative clustering methods?Feature importances, discretization and criterion in decision treesCutting Dendrogram/Clustering Tree from SciPy at distance heightDecision trees / stumps with AdaboostHow to compute cophenetic correlation from the linkage matrix output by fastcluster's memory saving hierarchical clustering method?python sklearn decision tree classifier feature_importances_ with feature names when using continuous valuesCompare k-means cluster results with hierarchical clustering
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Hierarchical clustering linkage method
Scipy linkage() function returning inconsistent resultsPython hierarchical clustering visualization dump [scipy]How to handle catagorical data while training decision tree using scikit-learn/ sklearn?How do I plug distance data into scipy's agglomerative clustering methods?Feature importances, discretization and criterion in decision treesCutting Dendrogram/Clustering Tree from SciPy at distance heightDecision trees / stumps with AdaboostHow to compute cophenetic correlation from the linkage matrix output by fastcluster's memory saving hierarchical clustering method?python sklearn decision tree classifier feature_importances_ with feature names when using continuous valuesCompare k-means cluster results with hierarchical clustering
.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;
I stand before the task to items based on their features. I know, that I need to use either decision trees of hierarchical clustering to make the results easily understandable.
My question is: I need to specify custom fuction/method to split on - weighted distance (some features are more important than others).
I haven't yet found the way to do that in sklearn decision tree classifier. Scipy hierarchical clustering offers some methods, but I don't think any of them fits.
Would you have a suggestion how to implement such a metric in any of these?
Thanks
decision-tree hierarchical-clustering
asked Mar 26 at 10:20
Michal A.Michal A.
95 bronze badges
add a comment |
I stand before the task to items based on their features. I know, that I need to use either decision trees of hierarchical clustering to make the results easily understandable.
My question is: I need to specify custom fuction/method to split on - weighted distance (some features are more important than others).
I haven't yet found the way to do that in sklearn decision tree classifier. Scipy hierarchical clustering offers some methods, but I don't think any of them fits.
Would you have a suggestion how to implement such a metric in any of these?
Thanks
decision-tree hierarchical-clustering
asked Mar 26 at 10:20
Michal A.Michal A.
95 bronze badges
add a comment |
I stand before the task to items based on their features. I know, that I need to use either decision trees of hierarchical clustering to make the results easily understandable.
My question is: I need to specify custom fuction/method to split on - weighted distance (some features are more important than others).
I haven't yet found the way to do that in sklearn decision tree classifier. Scipy hierarchical clustering offers some methods, but I don't think any of them fits.
Would you have a suggestion how to implement such a metric in any of these?
Thanks
decision-tree hierarchical-clustering
asked Mar 26 at 10:20
Michal A.Michal A.
95 bronze badges
I stand before the task to items based on their features. I know, that I need to use either decision trees of hierarchical clustering to make the results easily understandable.
My question is: I need to specify custom fuction/method to split on - weighted distance (some features are more important than others).
I haven't yet found the way to do that in sklearn decision tree classifier. Scipy hierarchical clustering offers some methods, but I don't think any of them fits.
Would you have a suggestion how to implement such a metric in any of these?
Thanks
decision-tree hierarchical-clustering
decision-tree hierarchical-clustering
asked Mar 26 at 10:20
Michal A.Michal A.
95 bronze badges
asked Mar 26 at 10:20
Michal A.Michal A.
95 bronze badges
asked Mar 26 at 10:20
Michal A.Michal A.
95 bronze badges
asked Mar 26 at 10:20
Michal A.Michal A.
95 bronze badges
asked Mar 26 at 10:20
Michal A.Michal A.
95 bronze badges
95 bronze badges
add a comment |
add a comment |
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