Statements (28)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:algorithm
|
| gptkbp:application |
image segmentation
data clustering market segmentation vector quantization |
| gptkbp:basedOn |
gptkb:K-means
|
| gptkbp:category |
unsupervised learning
|
| gptkbp:designedFor |
large datasets
|
| gptkbp:distinctFrom |
gptkb:K-means
gptkb:K-means++ Online K-means |
| gptkbp:fasterThan |
gptkb:K-means
|
| https://www.w3.org/2000/01/rdf-schema#label |
Mini-batch K-means
|
| gptkbp:implementedIn |
gptkb:scikit-learn
gptkb:Apache_Spark_MLlib |
| gptkbp:improves |
computational efficiency
|
| gptkbp:introduced |
David Sculley
|
| gptkbp:introducedIn |
2010
|
| gptkbp:objective |
minimize within-cluster sum of squares
|
| gptkbp:publishedIn |
ICML 2010
|
| gptkbp:reduces |
memory usage
|
| gptkbp:scalesTo |
large-scale data
|
| gptkbp:supportsAlgorithm |
iterative
|
| gptkbp:uses |
random sampling
mini-batches |
| gptkbp:bfsParent |
gptkb:K-means
gptkb:K-means_clustering |
| gptkbp:bfsLayer |
7
|