搜索资源列表
SVM_Learning
- 基于支持向量机进行数据分类、模式识别、数据挖掘的电子文档,适合初学者进行学习。-Data based on support vector machine classification, pattern recognition, data mining, electronic documents, suitable for beginners to learn.
Bayes
- 这是一个可用于分类和数据挖掘的贝叶斯算法,Java源代码-the source code of bayes Algorithm
Ensemble-learning-based-on-GMDH
- 基于自组织数据挖掘的多分类器集成选择的程序-Multiple classifiers ensemble selection based on GMDH
beiyesifenlei
- 数据挖掘的贝叶斯分类的实现,数据挖掘的可以-Bayesian classification of data mining implementation, data mining can look
Data-Mining-Concepts-and-Techniques
- 介绍什么是数据挖掘,什么是数据库中知识发现。书中的材料从数据库角度 提供,特别强调发现隐藏在大型数据集中有趣数据模式的数据挖掘基本概念和技术。所讨论的实现 方法主要面向可规模化的、有效的数据挖掘工具开发。 除学习数据挖掘系统的分类之外,你将看到建立未来的数据挖掘工具所面临的挑战性问题-Introduction What is data mining, knowledge of what is found in the database. The book provides the m
BAMIC
- 该代码使用BAMIC方法实现数据挖掘中多示例聚类方法来解决分类问题。-BAMIC performs multi-instance clustering by adapting k-medoids algorithm to deal with objects described using bags of instances
BPMIP
- 该代码利用BP_MIP算法实现数据挖掘中多示例机器学习方法中示例包的标记分类。-BP_MIP Using the BP-MIP algorithm to get the labels for bags in testBags
miGraph
- 该代码实现MI_graph算法来实现数据挖掘中多示例机器学习的示例分类过程。-This function is the main function for calling migraph method to use this function, LibSVM should be available.
NaiveBayes
- 数据挖掘中分类算法naive bayes的实现-naive bayes
new
- 机器学习算法决策树是基于机器学习的数据挖掘技术,它形式简单,分类速度快,无需先验知识,对样本分布也无要求且由决策树表达的规则直观清晰。-machine learning decision Tree
the-toy-of-data-mining
- 数据挖掘工具的分类和介绍,大家应该有点儿理解,请想看的同学下一下-Classification and presentation of data mining tools, we should be a little understanding, please want to see the students under what
SVM(CPP)
- 目前比较流行的数据挖掘中的用于分类的算法,能达到较高的分类准确率-classifing algorithm for dating ,have a more clsaaifing accuracy
datamining
- 数据挖掘算法C5.0的实现,对数据进行分类,使用VC++编写界面。-Data mining algorithm C5.0 implementation, data classification, using VC++ to write interface.
bayesgood
- 数据挖掘中分类算法贝叶斯算法,用于二分类问题-Data mining classification algorithm of bayesian algorithm is used for binary classification problem
iris
- 数据挖掘经典数据,鸢尾花分类,txt形式矩阵,直接使用非常方便。-Classical data mining data, iris classification, the form of TXT matrix directly, very convenient to use.
C4_5
- C4.5决策树算法,可以进行数据分类,是数据挖掘的经典算法-C4.5 decision tree algorithm, data classification, is a classic data mining algorithm
data-mining
- 本书全面介绍了数据挖掘,涵盖了五个主题:数据、分类、关联分析、聚类和异常检测。除异常检测外,每个主题都有两章:前一章涵盖基本概念、代表性算法和评估技术,而后一章讨论高级概念和算法。这样读者在透彻地理解数据挖掘的基础的同时,还能够了解更多重要的高级主题。 -Introduction to Data Mining Instructor’s Solution
Bbayesiann1a
- 用贝叶斯算法解决数据挖掘中分类问题,,先用训练集进行训练,再用测试集进行测试 -Bayesian algorithm to solve the classification problem in data mining, training, first use the training set, and then the test set to test
pingxingzuobiao
- 基于平行坐标的可视化交互分类,随着数据挖掘的发展,可视化数据挖掘逐渐兴起,该文章描述了基于平行坐标的高维数据可视化-Interactive classification based on parallel coordinates visualization, with the development of data mining, visualization, data mining gradually on the rise, the article describes the high-di
Classification-and-regression-trees
- 数据挖掘教程:分类与回归树模型的教程介绍-Classification and regression trees documentation