搜索资源列表
pca-test
- PCA简单实现，自己引用数据，能出两个基本指标图-PCA simple implementation code, their own reference data, to a data map, Q statistics and T2 statistic diagram
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
SgdClassifier
- 随机梯度下降分类器。本实验的实验平台为eclipse，只需导入(import)即可运行。输出方式为控制台输出，能够提供的评价数据有test error, percision, recall以及F1-measure。-Stochastic gradient descent classifier. In this study, experimental platform for eclipse, just import (import) to run. Output of the console o
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
Ap
- 数据挖掘中关联规则挖掘算法-apriori，的Python实现，代码中有测试样本-Data mining association rule mining algorithm-apriori, implementation of Python code in a test sample
python_fcm
- 我自己写的关于模糊进制分类的算法，采用二维数据，经过测试可以运行。-I wrote about fuzzy classification algorithm into the system, USES the two-dimensional data, after the test can be run
MyId3
- 用c#编写的id3算法，用于数据挖掘，经过测试可以运行。-Id3 algorithm written in c#, used for data mining, through the test can be run.
shujutianjiazaoseng
- 为点云数据自动添加随机噪声，可供点云数据处理者自动生成实验数据使用-The point cloud data automatically adding random noise to automatically generate test data to use for point cloud data processor
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
dbscan_
- 数据挖掘中DBSCAN聚类算法的实现，用python语言实现，亲测可用。-The realization of DBSCAN clustering algorithm in data mining, using Python language to achieve, pro test available.
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
bayes
- 首先对数据进行拆分，分为测试集与训练集，通过训练集进行贝叶斯网络的建模，最后利用建立的模型进行预测或分类任务的R语言代码-First, the data is split into a training set and test set, Bayesian network modeling through the training set, and finally the use of the model to predict or classify tasks R language code
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
knn
- 一个简单的KNN实现,利用距离测试点最近的k个点的所属类别，进行投票表决，票数多的即为测试点所属的类别-the algorithm of k-nearest neiberhood to judge the test data s classification
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
空间回归
- 检验数据在空间上分布是否具有规律性，并建立空间回归模型(The spatial distribution of the test data is regular, and the spatial regression model is established)
PCA TEST
- 主成分分析程序，能够对高维数据降维分析，适用于高维特征降维，大数据分析(The principal component analysis program can analyze dimensionality reduction of high-dimensional data.)