Statements (60)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software
|
| gptkbp:bfsLayer |
4
|
| gptkbp:bfsParent |
gptkb:Julia
gptkb:Julia_Language |
| gptkbp:community |
Julia community
|
| gptkbp:contribution |
open source contributions
|
| gptkbp:covered_by |
high test coverage
|
| gptkbp:data_type |
Customer segmentation data
Digits dataset Image segmentation data Iris dataset Wine dataset |
| gptkbp:dependency |
gptkb:building
Linear Algebra Statistics |
| gptkbp:developed_by |
gptkb:Julia_Lang
|
| gptkbp:example |
fit(DBSCAN, data)
fit(Gaussian Mixture, data) fit(Hierarchical Clustering, data) kmeans(data, k) |
| gptkbp:features |
visualization tools
fast execution support for large datasets easy integration with Julia ecosystem |
| gptkbp:first_released |
2016-01-01
|
| gptkbp:has_documentation |
https://clusteringjl.readthedocs.io
|
| https://www.w3.org/2000/01/rdf-schema#label |
Clustering.jl
|
| gptkbp:influenced_by |
C++ clustering libraries
MATLAB clustering functions Python's scikit-learn R's clustering packages |
| gptkbp:installation |
using Pkg; Pkg.add(" Clustering")
|
| gptkbp:is_maintained_by |
gptkb:Julia_Stats_team
|
| gptkbp:language |
gptkb:Julia
|
| gptkbp:latest_version |
2023-10-01
1.2.0 |
| gptkbp:license |
MIT License
|
| gptkbp:performance |
memory efficient
optimized for speed |
| gptkbp:platform |
cross-platform
|
| gptkbp:provides |
clustering algorithms
|
| gptkbp:related_to |
data analysis tools
data visualization tools statistical analysis machine learning libraries |
| gptkbp:release_date |
2021-05-01
|
| gptkbp:repository |
https://github.com/ Julia Stats/ Clustering.jl
|
| gptkbp:supports |
gptkb:Gaussian_Mixture_Models
hierarchical clustering k-means clustering DBSCAN |
| gptkbp:tutorials |
https://clusteringjl.readthedocs.io/en/latest/tutorials/index.html
|
| gptkbp:used_in |
gptkb:software_framework
data analysis data mining pattern recognition |
| gptkbp:user_base |
gptkb:physicist
gptkb:software data scientists statisticians |