Ward's minimum variance method
GPTKB entity
Statements (20)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
hierarchical clustering algorithm
|
| gptkbp:alsoKnownAs |
gptkb:Ward's_method
|
| gptkbp:appliesTo |
bioinformatics
data mining market segmentation |
| gptkbp:category |
unsupervised learning
|
| gptkbp:citation |
Ward, J. H. (1963). Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association, 58(301), 236-244.
|
| https://www.w3.org/2000/01/rdf-schema#label |
Ward's minimum variance method
|
| gptkbp:measures |
squared Euclidean distance
|
| gptkbp:mergesClustersBy |
minimizing increase in total within-cluster variance
|
| gptkbp:output |
dendrogram
|
| gptkbp:proposedBy |
gptkb:Joe_H._Ward,_Jr.
|
| gptkbp:reduces |
total within-cluster variance
|
| gptkbp:relatedTo |
hierarchical clustering
linkage methods |
| gptkbp:supportsAlgorithm |
agglomerative clustering
|
| gptkbp:usedIn |
cluster analysis
|
| gptkbp:yearProposed |
1963
|
| gptkbp:bfsParent |
gptkb:Ward's_method
|
| gptkbp:bfsLayer |
8
|