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clusteval-2.2.1
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مشاهده بیشترتوضیحات
clusteval is a python package for unsupervised cluster validation.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | clusteval-2.2.1 |
| نام | clusteval |
| نسخه کتابخانه | 2.2.1 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Erdogan Taskesen |
| ایمیل نویسنده | erdogant@gmail.com |
| آدرس صفحه اصلی | https://erdogant.github.io/clusteval |
| آدرس اینترنتی | https://pypi.org/project/clusteval/ |
| مجوز | - |
# clusteval
<p align="center">
<a href="https://erdogant.github.io/clusteval">
<img src="https://github.com/erdogant/clusteval/blob/master/docs/figs/logo_large_2.png" width="300" />
</a>
</p>
[](https://img.shields.io/pypi/pyversions/clusteval)
[](https://pypi.org/project/clusteval/)
[](https://github.com/erdogant/clusteval/blob/master/LICENSE)
[](https://www.buymeacoffee.com/erdogant)
[](https://github.com/erdogant/clusteval/network)
[](https://github.com/erdogant/clusteval/issues)
[](http://www.repostatus.org/#active)
[](https://pepy.tech/project/clusteval)
[](https://pepy.tech/project/clusteval)
[](https://zenodo.org/badge/latestdoi/232915924)
[](https://erdogant.github.io/clusteval/)
[](https://erdogant.github.io/clusteval/pages/html/Documentation.html#colab-notebook)
<!---[](https://erdogant.github.io/donate/?currency=USD&amount=5)-->
``clusteval`` is a python package that is developed to evaluate detected clusters and return the cluster labels that have most optimal **clustering tendency**, **Number of clusters** and **clustering quality**. Multiple evaluation strategies are implemented for the evaluation; **silhouette**, **dbindex**, and **derivative**, and four clustering methods can be used: **agglomerative**, **kmeans**, **dbscan** and **hdbscan**.
#
**⭐️ Star this repo if you like it ⭐️**
#
### Blogs
Read the blog to get a structured overview how you can use ``clusteval``.
* [Medium Blog: A step-by-step guide for clustering images](https://towardsdatascience.com/a-step-by-step-guide-for-clustering-images-4b45f9906128)
In case you want to detect identical images, you can also use hash functionalities.
* [Medium Blog: Detection of Duplicate Images Using Image Hash Functions](https://towardsdatascience.com/detection-of-duplicate-images-using-image-hash-functions-4d9c53f04a75)
#
### [Documentation pages](https://erdogant.github.io/clusteval/)
On the [documentation pages](https://erdogant.github.io/clusteval/) you can find detailed information about the working of the ``clusteval`` with many examples.
#
### Installation
##### It is advisable to create a new environment (e.g. with Conda).
```bash
conda create -n env_clusteval python=3.8
conda activate clusteval
```
##### Install from PyPI
```bash
pip install clusteval
```
##### Import library
```python
from clusteval import clusteval
```
<hr>
### Examples
A structured overview of all examples are now available on the [documentation pages](https://erdogant.github.io/clusteval/).
<hr>
* [Example: Cluster validation using Silhouette score](https://erdogant.github.io/clusteval/pages/html/Examples.html#cluster-evaluation)
<p align="left">
<a href="https://erdogant.github.io/clusteval/pages/html/Examples.html#cluster-evaluation">
<img src="https://github.com/erdogant/clusteval/blob/master/docs/figs/fig1b_sil.png" width="600" />
</a>
</p>
#
* [Example: Determine the optimal number of clusters](https://erdogant.github.io/clusteval/pages/html/Plots.html#plot)
<p align="left">
<a href="https://erdogant.github.io/clusteval/pages/html/Plots.html#plot">
<img src="https://github.com/erdogant/clusteval/blob/master/docs/figs/fig1a_sil.png" width="600" />
</a>
</p>
#
* [Example: Plot the dendrogram](https://erdogant.github.io/clusteval/pages/html/Plots.html#dendrogram)
<p align="left">
<a href="https://erdogant.github.io/clusteval/pages/html/Plots.html#dendrogram">
<img src="https://github.com/erdogant/clusteval/blob/master/docs/figs/dendrogram.png" width="600" />
</a>
</p>
#
* [Example: Cluster validation using davies-boulin index](https://erdogant.github.io/clusteval/pages/html/Examples.html#dbindex-method)
<p align="left">
<a href="https://erdogant.github.io/clusteval/pages/html/Examples.html#dbindex-method">
<img src="https://github.com/erdogant/clusteval/blob/master/docs/figs/dendrogram.png" width="600" />
</a>
</p>
#
* [Example: Cluster validation using davies-boulin index](https://erdogant.github.io/clusteval/pages/html/Examples.html#dbindex-method)
<p align="left">
<a href="https://erdogant.github.io/clusteval/pages/html/Examples.html#dbindex-method">
<img src="https://github.com/erdogant/clusteval/blob/master/docs/figs/fig2_dbindex.png" width="600" />
</a>
</p>
#
* [Example: Cluster validation using derivative evaluation method](https://erdogant.github.io/clusteval/pages/html/Examples.html#derivative-method)
<p align="left">
<a href="https://erdogant.github.io/clusteval/pages/html/Examples.html#derivative-method">
<img src="https://github.com/erdogant/clusteval/blob/master/docs/figs/fig3_der.png" width="600" />
</a>
</p>
#
* [Example: Cluster validation using dbscan](https://erdogant.github.io/clusteval/pages/html/Examples.html#dbscan)
<p align="left">
<a href="https://erdogant.github.io/clusteval/pages/html/Examples.html#dbscan">
<img src="https://github.com/erdogant/clusteval/blob/master/docs/figs/fig5_dbscan.png" width="600" />
</a>
</p>
#
* [Example: Cluster validation using hdbscan](https://erdogant.github.io/clusteval/pages/html/Examples.html#hdbscan)
<p align="left">
<a href="https://erdogant.github.io/clusteval/pages/html/Examples.html#hdbscan">
<img src="https://github.com/erdogant/clusteval/blob/master/docs/figs/fig4a_hdbscan.png" width="600" />
<img src="https://github.com/erdogant/clusteval/blob/master/docs/figs/fig4b_hdbscan.png" width="600" />
</a>
</p>
## Citation
Please cite clusteval in your publications if this is useful for your research (see right top for citation).
## Other interesting techniques/blogs
* Use ARI when the ground truth clustering has large equal sized clusters
* Usa AMI when the ground truth clustering is unbalanced and there exist small clusters
* https://scikit-learn.org/stable/modules/generated/sklearn.metrics.adjusted_rand_score.html
* https://scikit-learn.org/stable/auto_examples/cluster/plot_adjusted_for_chance_measures.html#sphx-glr-auto-examples-cluster-plot-adjusted-for-chance-measures-py
* https://github.com/idealo/imagededup
* https://towardsdatascience.com/how-to-cluster-images-based-on-visual-similarity-cd6e7209fe34
* https://github.com/facebookresearch/deepcluster
* https://towardsdatascience.com/pca-on-hyperspectral-data-99c9c5178385
* https://machinelearningmastery.com/face-recognition-using-principal-component-analysis/
### Maintainer
* Erdogan Taskesen, github: [erdogant](https://github.com/erdogant)
* Contributions are welcome.
* If you wish to buy me a <a href="https://erdogant.github.io/donate/?currency=USD&amount=5">Coffee</a> for this work, it is very appreciated :)
Star it if you like it!
نیازمندی
| مقدار | نام |
|---|---|
| - | scatterd |
| - | pypickle |
| - | matplotlib |
| - | numpy |
| - | pandas |
| - | tqdm |
| - | seaborn |
| - | scikit-learn |
| - | colourmap |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3 | Python |
نحوه نصب
نصب پکیج whl clusteval-2.2.1:
pip install clusteval-2.2.1.whl
نصب پکیج tar.gz clusteval-2.2.1:
pip install clusteval-2.2.1.tar.gz