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different clustering algorithms

Akhlaq Altaf answered on March 30, 2024 Popularity 1/10 Helpfulness 1/10

answer different clustering algorithms

different clustering algorithms

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from numpy import unique
from numpy import where
from matplotlib import pyplot
from sklearn.datasets import make_classification
from sklearn.cluster import DBSCAN

# initialize the data set we'll work with
training_data, _ = make_classification(
    n_samples=1000,
    n_features=2,
    n_informative=2,
    n_redundant=0,
    n_clusters_per_class=1,
    random_state=4
)

# define the model
dbscan_model = DBSCAN(eps=0.25, min_samples=9)

# train the model
dbscan_model.fit(training_data)

# assign each data point to a cluster
dbscan_result = dbscan_model.predict(training_data)

# get all of the unique clusters
dbscan_cluster = unique(dbscan_result)

# plot the DBSCAN clusters
for dbscan_cluster in dbscan_clusters:
    # get data points that fall in this cluster
    index = where(dbscan_result == dbscan_clusters)
    # make the plot
    pyplot.scatter(training_data[index, 0], training_data[index, 1])

# show the DBSCAN plot
pyplot.show()

Popularity 1/10 Helpfulness 1/10 Language python

Source: www.freecodecamp.org

Tags: python

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Contributed on Mar 30 2024

Akhlaq Altaf

0 Answers Avg Quality 2/10

different clustering algorithms

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