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Results tagged with clustering
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user 215456
Cluster analysis is the task of partitioning data into subsets of objects according to their mutual "similarity," without using preexisting knowledge such as class labels. [Clustered-standard-errors and/or cluster-samples should be tagged as such; do NOT use the "clustering" tag for them.]
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Is there a way to calculate the Explained Variance with PAM or k-medoids?
I am studying geographic solar radiation data obtained from satellite images. I would like to and use cluster analysis and make some correlation analysis by clusters, instead of by pixel - as some aut …
- 236
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Why using L-method with CH and SIL for number of cluster selection?
In this paper, the author uses CH (Caliński–Harabasz index) and SIL (Silhouette index) methods to decide the number of clusters. However, instead of selecting the highest values, it applies a L-meth …
- 236