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network2
- 初学机器学习，第一步是做一个简单的手写数字识别，我选用的是MNIST数据集（用其他数据集也可以，原理都差不多），算法是KNN（下载库直接调用函数，算法的具体实现没有过多关心）。在网上也看到过MNIST数据集的Python代码，但是感觉有些复杂，作为初学者见到那么多代码就头大……这里分享一下我的代码，虽然并不完善，但是可以为其他初学者提供一点简单的思路吧。(Learning machine learning, the first step is to do a simple handwritten
WifiMapper-master
- 室内指纹定位算法仿真代码，包括NN,KNN,WKNN等(Indoor fingerprint location algorithm simulation code, including NN, KNN, WKNN and so on)
BreastCancer
- Java实现机器学习经典分类算法，代码中实现了决策树、贝叶斯和KNN三个分类算法(Java implements the classic classification algorithm for machine learning. The code implements three classification algorithms: decision tree, Bayes and KNN)
Thesis Guidelines_ME_201724042017
- Strength Pareto Evolutionary Algorithm 2 (SPEA2) is an extended version of SPEA multi-objective evolutionary optimization algorithm. This algorithm utilized a mechanism like k-Nearest Neighbor (kNN) and a specialized ranking system to sort the member
代码
- 基于Java的模式识别算法，包括ID3，KNN，NB等源程序(A pattern recognition algorithm based on Java)
matlab代码
- Matlab代码，根据算法原理自己编写的基本算法的代码，有：KNN，层次聚类，C均值，最邻近算法。包括自己挑选的数据集，对算法准确率的测试。(Matlab code, the code of the basic algorithm written by itself according to the algorithm principle, there are: KNN, hierarchical clustering, C-means, nearest neighbor algorithm.