搜索资源列表
knn(python)
- k邻近值算法,用python实现的,带有测试数据,可以完整实现,亲测有效-k adjacent values algorithm, implemented in python, with test data, can achieve complete, effective pro-test
KNN
- 基于Python的算法,主要实现KNN算法。-The algorithm based on Python,which mainly realized the function of KNN.
knn
- 最简单的机器学习分类方法knn算法的python实现-The easiest method of machine learning classification algorithm python achieve knn
KNN
- knn的核心算法,包含knn的各种实现,并且附带了python版本(main part of knn programe)
knn
- python语言编写的,利用KNN实现分类以及梯度下降算法。(Use kNN to classify)
kNN
- KNN实现python实现代码,结合数字数据集,实现数字的分类任务。(KNN implements the python implementation code and combines the digital data set to realize the classification task of the digital.)
Ch02
- 机器学习KNN算法的Python实现,包含测试数据集(KNN algorithm in machine learning,in python)
KNN python
- 关于K近邻算法的简单实现和一些例子,其中包括手写数字的识别(Simple implementation of K nearest neighbor algorithm and some examples)
PCA+mnist
- 基于python,利用主成分分析(PCA)和K近邻算法(KNN)在MNIST手写数据集上进行了分类。 经过PCA降维,最终的KNN在100维的特征空间实现了超过97%的分类精度。(Based on python, it uses principal component analysis (PCA) and K nearest neighbor algorithm (KNN) to classify on the MNIST handwritten data set. After PCA dime