搜索资源列表
AdaBoost
- 用python实现的AdaBoost分类算法，文件是一个ipython notebook，可以直接用ipython/jupyter打开使用。内附简单测试数据集。 程序运行需要numpy库的支持。-An AdaBoost classifier implemented with Python.
kNN
- KNN，k近邻算法，内附测试数据集，机器学习实战源码-KNN, k nearest neighbor algorithm, enclosing the test data set, machine learning practical source
KNN
- K-最邻近分类器的一个实例，实现了对数据的分类，内含测试数据-an example of K-nearest algorithm,containing a set of test data
KNN
- 本例程是一个完整的学习KNN算法的工程，使用VS2010+C#编程,含训练数据及测试数据-This routine is a complete learning KNN algorithm works using VS2010+ C# programming, including training data and test data
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
KNN
- KNN近邻算法分类程序,包含训练数据和测试数据.-KNN classification procedures, including training and testing data.
AI-Naive
- 利用Python实现朴素贝叶斯分类方法。实现程序具有普适性，同时附带测试数据。可以直接运行。-Python implementations utilizing Naive Bayes classification. Achieve universal program has also included with the test data. It can be run directly.
SVM-timeseries
- 基于SVM的时序序列预测，用python实现，内附测试数据，方便可用。-SVM prediction based on a timing sequence with python to achieve, enclosing the test data to facilitate available.
holt_winters
- holt-winters 三次指数平滑算法,时间序列预测算法，带测试数据及Demo-Triple Order Exponential Smoothing, Holt-Winters algorithm, time series prediction algorithm with test data and Demo
code
- （神经网络）多个隐含层的多层感知器网络训练数据得到网络，并使用测试数据统计所设计多层感知器的平均识别正确率-Multi layer perceptron network training data with multiple hidden layers is obtained, and the average recognition accuracy of the multi-layer perceptron is designed by using the test data statisti
Cluster
- 机器学习和数据挖掘中常用的K-means聚类算法，包含两个文件，kmeans.py是Python实现代码，bank-data.csv是测试数据-Machine learning and data mining commonly used K-means clustering algorithm contains two files, kmeans.py is a Python implementation code, bank-data.csv test data
CFSFDP-matlab
- 密度峰值聚类算法源码+测试数据(人工+UCI)(Source Code and datasets of CFSFDP Algorithm)
fnel
- bp算法及改进bp算法,已测试,附带说明文档()
kacmp
- google搜索的核心技术,VC++源码实现,包含测试数据库()
oiaine-scroll
- 综合了数据挖掘的均值算法和中值算法,带有一个小的测试数据集合()
clbss
- 自己编写的粒子群优化算法,以计算一个函数的值作为测试,达到了良好的精度()
japm
- FSA算法的MATLAB实现,经过了严格的测试,能运行,是不可多得的能运行的代码,希望能给你帮助！()
hmrpaa
- 动态矩阵的加,减,乘法实现的类,使用模版,完全原创经过测试)()
ccbpiw
- 快速排序程序,是用顺序表结构实现的快速排序功能,是我们实验课上的测试程序()
tist_aux__statement
- 支持向量机,用于分类,含训练集与测试集,()