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Results tagged with clustering
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user 325667
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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K-means clustering and splitting further
When I apply the k-means clustering only on the ordering time during the day I can identify two segments/clusters. … Now I want to conduct a further k-means clustering on the two already identified clusters. That means, I want to split the clustering process into two parts to get approximately 5 clusters. …
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