Implementation of the DenStream algorithm
Project description
pyDenStream
Implementation of the algorithm Density-Based Clustering over an Evolving Data Stream with Noise in Python.
Installation
pip install denstream
Example usage
import numpy as np
from denstream import DenStream
# Model parameters
eps = 0.3
lambd = 0.1
beta = 0.2
mu = 10
min_samples = 1
model = DenStream(eps, beta, mu, lambd, min_samples)
x = np.array([[1, 2]])
t = 0
model.partial_fit(x, t)
In depth example
A more in depth example of how to use this package is included in examples/user_guide.ipynb.
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