资源列表
My_Kmeans
- java写的k-means，随机选择聚类中心-the realizationg of K-means clustering algotithm based on Java,with random selection of clustering centers
3l_cvrp
- 介绍的是三维装箱和vrp结合的代码，使用粒子群和局部搜索结合的方法-3l_cvrp matlab
perceptron
- 使用matlab编写的感知机算法，并提供测试数据集，方便测试-Using matlab prepared Perceptron algorithms and provide test data sets, to facilitate testing
Naive-Bayes
- Python实现朴素贝叶斯分类，即Naive Bayes Classifier（NB），数据集为pima-indians印第安人糖尿病数据集。-Python implementation naive Bayes classifier, i.e. Naive Bayes Classifier (NB), the data set is pima-indians Indians diabetes data sets.
KNNDemo
- KNN算法Java语言实现，控制台运行界面。分类训练样本集和测试样本都有。-Java KNN language implementation, the console running interface. Classified training samples and test samples are.
kalman
- 使用卡尔曼滤波进行位置预测，一共两种方法-Kalman filter location prediction
k-means
- k-means算法的一个小实例，很好的展示了，算法的过程，测试聚类文件在txt中-A small example k-means algorithm, a good showing, the algorithm process, the test cluster file txt
SVM
- 在机器学习领域，支持向量机SVM(Support Vector Machine）是一个有监督的学习模型，通常用来进行模式识别、分类、以及回归分析。-In the field of machine learning, support vector machine SVM (Support Vector Machine) is a supervised learning model, typically used for pattern recognition, classification, an
qevfyh
- 1．简介 本程序是用C语言编的一个基于命令行的文件合并分割器,主要用于分割和合并文件,可以按大小分或者按个数等分,支持分割()
iris and pima
- 经典的机器学习数据集合，是机器学习入门的必备数据集合之一(A classic collection of machine learning data, one of the must-have data sets for getting started with machine learning)
node2vec-master-python3
- 斯坦福大学的node2vec模型，做图嵌入的，说明很详细分享一下，，原文件是Python2做的，我改的Python3的，分享一下(The node2vec model of Stanford University is embedded in the diagram, and the descr iption is shared in detail. The original file is made by Python 2, and my modified version of Python
深度学习基础
- 了解深度学习基本原理 掌握TensorFlow基本概念和应用 掌握tensorboard基本应用 掌握PaddlePaddle基本应用(Understand the fundamentals of deep learning Master the basic concept and application of tensorflow Master the basic application of tensorboard Master the basic application of