Search Results
| Search type | Search syntax |
|---|---|
| Tags | [tag] |
| Exact | "words here" |
| Author |
user:1234 user:me (yours) |
| Score |
score:3 (3+) score:0 (none) |
| Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
| Views | views:250 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| Status |
closed:yes duplicate:no migrated:no wiki:no |
| Types |
is:question is:answer |
| Exclude |
-[tag] -apples |
| For more details on advanced search visit our help page | |
Results tagged with clustering
Search options not deleted
user 221
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.]
8
votes
3
answers
377
views
How to deal with the effect of the order of observations in a non hierarchical cluster analy...
When a non-hierarchical cluster analysis is carried out, the order of observations in the data file determine the clustering results, especially if the data set is small (i.e, 5000 observations). …
- 10.3k
2
votes
Clustering (k-means, or otherwise) with a minimum cluster size constraint
Maybe you could try to run a hierarchical clustering and then decide which clusters retain based on your dendrogram. … If your data set is huge, you could also combine both clustering methods: an initial non-hierarchical clustering and then a hierarchical clustering using the groups from the non-hierarchical analysis. …
- 2,115
6
votes
Where to cut a dendrogram?
There are also some statistics that could hepl on this task: Hubert' gamma, pseudo-t², pseudo-F or cubic clustering criteria (CCC) among others. …
- 2,115