如何将libsvm数据文件加载到numpy数组中，用于sciki-learn中的kmeans聚类？

import numpy as np
from sklearn.datasets import load_svmlight_file

data, labels = load_svmlight_file('path_to_file.libsvm')

X = data.toarray()

from sklearn.preprocessing import MinMaxScaler
scaler = MinMaxScaler()
X_scaled = scaler.fit_transform(X)

from sklearn.cluster import KMeans
kmeans = KMeans(n_clusters=K)
kmeans.fit(X_scaled)  # 如果进行了预处理，请使用X_scaled代替X