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 ward
Search options answers only
not deleted
user 74283
Ward's method is one of "linkage rules" in hierarchical agglomerative cluster analysis. In Ward's method, those two clusters are chosen to merge at each step that would yield the lowest increase in error sum of squares.
6
votes
What algorithm does ward.D in hclust() implement if it is not Ward's criterion?
I came across the research paper that corresponds to the objective function that is being optimized by "Ward1 (ward.D)": Hierarchical Clustering via Joint Between-Within Distances: Extending Ward's Mi …
- 61