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weka全名是怀卡托智能分析环境（Waikato Environment for Knowledge Analysis），是一个公开的数据挖掘工作平台，集合了大量能承担数据挖掘任务的机器学习算法，包括对数据进行预处理，分类，回归、聚类、关联规则以及在新的交互式界面上的可视化-full name is weka intelligent analysis environment Waikato (Waikato Environment for Knowledge Analysis), is an o
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使用matlab实现的各种聚类算法,其中包括具体例子进行详细说明。-The purpose of the development of this toolbox was to compile a continuously extensible, standard tool, which is useful for any MATLAB user for one s aim. In Chapter 1 of the downloadable related documentation on
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Pavel是一个交互式显示和评估高维数据的工具，主要用对多目标进化算法结果的分析。-Pavel (Paretoset Analysis Visualization and Evaluation) is a tool for interactively displaying and evaluating large sets of highdimensional data. Its main intended use is the analysis of result sets from mult
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用ISOMAP算法对癌症数据进行降维处理，然后再对降维后的数据进行可视化分析-ISOMAP algorithm to reduce the dimensionality of cancer data processing, data dimensionality reduction and then to visualization analysis
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一个svm的演示程序，能演示两类数据分类，有gui界面，不使用第三方工具箱，使用gaussian核函数，界面能设置c和gamma的参数值，最后可以得到分类情况的可视化效果。针对svm算法的研究者和用于教学演示的教师，是个不错的源码。-An svm demo program that can demonstrate two types of data classification, gui interface, do not use third-party toolbox, using gauss
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贝叶斯网络的可视化（GUI）实现基因数据的分析-Bayesian network visualization (GUI) to achieve the analysis of genetic data
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A Hierarchical Latent Variable Model for Data Visualization.pdf
Bayesian Image Super-Resolution.pdf
Bayesian Inference_An Introduction to Principles and Practice in Machine Learning.pdf
Fast Marginal Likehood Maximisation for Sparse Bayesian Mo
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基于PCA和白化的数据预处理操作，PCA具有两个功能：维数约减和数据可视化；白化的目的是去掉数据之间的相关性。深度学习的一个主要工作就是数据的预处理-Based on PCA and data pre-whitening operation, PCA has two functions: dimensionality reduction and data visualization whitening purpose is to remove the correlation between t
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使用python实现的星球大战电影数据的分析，使用flask框架可视化的显示每部电影中的人物，种族等的关系。(Using Python to analyze Star Wars movie data, use the flask framework visually to display the characters, races, and relationships in each movie.)
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源代码，spark平台，数据可视化算法，性能优越(Source code,spark platform,data visualization,good performance in decomposition, perform better than tsne.)
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决策树算法，并附有相关数据集以及可视化的方法，并附有可视化的图例。(The decision tree algorithm is attached with relevant data sets and visualization methods with visual illustrations.)
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谢菲尔德大学matlab遗传算法工具箱用高级语言编写，可以看见算法的源代码，与此匹配先进的数据分析、可视化工具。(The Matlab genetic algorithm toolbox at the University of Sheffield is written in a high-level language. You can see the source code of the algorithm and match this with advanced data analysis
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