KlusterPy
KlusterPy is a simple machine learning library that provides clustering algorithm such as K-Means, K-Medoids, DBSCAN, and Agglomerative Clustering.
Dependencies
- NumPy
- Python >= 3
Installation
pip install klusterpy
Example Code
from klusterpy.cluster.dbscan import DBSCAN
from sklearn import datasets
import numpy as np
import pandas as pd
iris_data = datasets.load_iris()
iris_df = pd.DataFrame(data=np.c_[iris_data['data']], columns=iris_data['feature_names'])
dbscan = DBSCAN(epsilon=0.42, min_pts=5).fit(iris_df.values)
dbscan.labels
Contributors
Dewita Sonya 13515021 |
Erick Wijaya 13515057 |
Kezia Suhendra 13515063 |
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Metadata
Release files for klusterpy 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| klusterpy-0.0.2.tar.gz | 5.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| klusterpy-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.3 kB
Release files / klusterpy-0.0.2.tar.gz
| Download URL | klusterpy-0.0.2.tar.gz |
|---|---|
| Size | 5.2 kB |
| Tags | Source |
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Release files / klusterpy-0.0.2-py3-none-any.whl
| Download URL | klusterpy-0.0.2-py3-none-any.whl |
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| Size | 7.1 kB |
| Tags | Python 3 |
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