OptimalCluster
OptimalCluster is the Python implementation of various algorithms to find the optimal number of clusters. The algorithms include elbow, elbow-k_factor, silhouette, gap statistics, gap statistics with standard error, and gap statistics without log. Various types of visualizations are also supported.
For references about the different algorithms visit the following sites:
elbow : Elbow Method
elbow_kf :
silhouette : Silhouette Score
gap_stat_wolog : Paper
Installation
To install the OptimalCluster package through the Python Package index (PyPI) run the following command:
pip install OptimalCluster
Documentation
Visit this link : Documentation
Example
Visit this link : Example
Metadata
Release files for OptimalCluster 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| OptimalCluster-0.1.0.tar.gz | 8.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| OptimalCluster-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.6 kB
Release files / OptimalCluster-0.1.0.tar.gz
| Download URL | OptimalCluster-0.1.0.tar.gz |
|---|---|
| Size | 8.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/49.1.0 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.6
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Release files / OptimalCluster-0.1.0-py3-none-any.whl
| Download URL | OptimalCluster-0.1.0-py3-none-any.whl |
|---|---|
| Size | 9.5 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/49.1.0 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.6
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