搜索资源列表
machine-learning
- python3实现各种机器学习算法，包括knn算法，决策树算法，SVM算法，朴素贝叶斯算法等-Python3 realize all kinds of machine learning algorithms, including KNN algorithm, the decision tree algorithm, the SVM algorithm, naive bayesian algorithm, etc
lm
- 各种对图像的分类和聚类的方法，kmeas、knn、pca等，还有几种数据处理中的窗函数-Variety of image classification and clustering methods, kmeas, knn, pca, etc., there are several data processing window function
violinplot
- 这是关于机器学习中的代码，通过绘制violinplot图来观察数据的分布变化等-It s about machine learning code, distribution changes by drawing violinplot plans to observational data, etc.
mani
- 此代码是关于流形学习，数据降维，代码中含有的主要方法是PCA，KPCA，MDS，KMDS，Laplacian等等，且代码作了可视化处理，界面效果完美-This code is on the manifold learning, data dimensionality reduction, the main method code is contained in PCA, KPCA, MDS, KMDS, Laplacian, etc., and the code visualization ma
Enhancedtextmining
- 强化版本文本挖掘流程，包含分词，分类聚类，分词结果评估等-Enhanced version of the text mining process, including word segmentation, classification clustering, segmentation results uation, etc.
gplvm
- 这是一个用于高斯过程隐变量模型的工具箱，其中包含了MATLAB/C/PYTHON三种语言版本-As of July 2005 a C++ implementation of the GPLVM exists which has most of the flexibility of this software but runs much faster. However as of this time it cannot handle very large data sets as the spar
arima
- ARMA,AR,MA,ARIMA等实现自回归预测、齐次稳定回归预测算法-ARMA, AR, MA, ARIMA, etc. to achieve autoregressive prediction, homogeneous and stable regression prediction algorithm
suanfasheji
- 常见算法设计与分析源代码，包括背包问题，n皇后问题，大整数乘法，阶乘问题，汉诺塔等-Common algorithm design and analysis of source code, including the knapsack problem, n queens problem, large integer multiplication, factorial problem, Tower of Hanoi, etc.
GP
- 基于贝叶斯理论的高斯过程代码，包含高斯过程回归分析，以及相关噪声处理和高斯过程分类，提供数据进行测试，-Gauss procedure code based on Bayesian theory, including Gaussian process regression analysis, and related processing and noise Gaussian process classification, to provide data for testing, etc.
MachineLearning-wepe
- MachineLearning-作者wepe 及其学习的实用包 包含决策树，支持向量机，K-MachineLearning- OF wepe and learn practical package contains decision trees, SVM, KNN, etc.
Part1
- 实现了500篇纽约时报新闻的数据挖掘，包括数据预处理、基本数据统计等-Achieved 500 New York Times news data mining, including data preprocessing, basic data statistics, etc.
SVM-KM
- 支持向量机与核学习工具箱，用于数据挖掘中核方法开发的必备工具，如支持向量机、极限学习机等。-Support vector machine (SVM) and nuclear learning toolkit for nuclear method development of necessary tools in data mining, such as support vector machine (SVM), extreme learning machine, etc.
MATLAB的数值分析
- 本书以matlab为平台，介绍了数值分析预图形可视化，内容涉及matlab介绍，数学分析的数值基础，数值方法在工程科学数学问题中的应用以及绘图等内容。(This book is based on MATLAB, introduces the numerical analysis of pre visualization, covering MATLAB, numerical basis of mathematical analysis, numerical method in Mathemati
kctp
- 此代码实现数据的预处理，包括分词、去符号、去停用词等。(This code realizes the preprocessing of data, including participle, symbol, stop words, etc.)