OPTICS聚类算法python代码

OPTICS聚类算法的Python代码如下所示：

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

# 定义数据集
X, _ = make_classification(n_samples=1000, n_features=2, n_informative=2, n_redundant=0, n_clusters_per_class=1, random_state=4)

# 定义模型
model = OPTICS(eps=0.8, min_samples=10)

# 模型拟合与聚类预测
yhat = model.fit_predict(X)

# 检索唯一群集
clusters = unique(yhat)

# 为每个群集的样本创建散点图
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#### 引用[.reference_title]
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