# -*- coding: UTF-8 -*-import matplotlib.pyplot as plti继续阅读“GMM高斯混合模型的可视化”
分类存档：笔记
用K最近邻色彩压缩
# -*- coding: UTF-8 -*-from sklearn.datasets import loa继续阅读“用K最近邻色彩压缩”
K最近邻数字聚类
# -*- coding: utf-8 -*from sklearn.datasets import load继续阅读“K最近邻数字聚类”
PCA特征脸
# -*- coding: UTF-8 -*-import numpy as npimport matplot继续阅读“PCA特征脸”
k最近邻算法引用
# -*- coding: utf-8 -*-import matplotlib.pyplot as plti继续阅读“k最近邻算法引用”
k最近邻算法实现
# -*- coding: utf-8 -*-import matplotlib.pyplot as plti继续阅读“k最近邻算法实现”
矩阵坐标的指定
# -*- coding: utf-8 -*- import numpy as np data = np.ar继续阅读“矩阵坐标的指定”
高斯基函数的正则化
# -*- coding: UTF-8 -*- from sklearn.pipeline import ma继续阅读“高斯基函数的正则化”
高斯基函数拟合正弦曲线
# -*- coding: UTF-8 -*- from sklearn.pipeline import ma继续阅读“高斯基函数拟合正弦曲线”
装饰器的运用示例
# -*- coding: UTF-8 -*-def log(func): def wrapper(*arg,继续阅读“装饰器的运用示例”
KAGAYA's Blog 