搜索资源列表
aprioricsharp
- Apriori 数据挖掘算法的C#实现 数据库中的知识发现 (Knowledge Discovery in Databases,KDD) 是利用计算机自动地从海量信息中提取有用的知识 , 是一种有效利用信息的新方法 , 目前已成为数据库领域的研究热点之一。 KDD 的研究焦点在于数据挖掘。数据挖掘是从大型数据库或数据仓库中提取人们感兴趣的知识 , 这些知识是隐含的 , 事先未知的潜在的有用信息。主要包括的方法有 : 分类、回归分析、聚类、关联分析等 [1][5] 。关联规则的提取主要针对大型
kNN
- 用matlab实现K近邻算法，用于数据挖掘的分类-K-nearest neighbor algorithm for the classification of data mining using matlab
Classification
- VC++中实现K近邻分类方法，实验数据是著名的iris数据库，此方法是数据挖掘，机器学习，人工智能等课程中重要的分类算法。-K-nearest neighbor classification VC++, experimental data is the famous iris databases, data mining, machine learning, artificial intelligence courses classification algorithm.
The-implementation-of-ID3
- 此程序是对数据挖掘领域经典分类算法ID3进行得扩展，采用C++进行实现！-The algorithm is the improvement of thetypical classification algorithm ID3.
DMProject
- 数据挖掘经典分类算法朴素贝叶斯的C++实现，界面采用qt-The data mining classic classification algorithm the Naive Bayes C++ achieve interface using qt
SVM_windows
- 本源代码实现了windows下面的svm文本分类算法，对于研究数据挖掘的同学有一定的帮助。-The source code to achieve the windows below the SVM text classification algorithm for the study of data mining students have some help.
Bayes-Iris
- bayes分类算法，适合数据挖掘初学者学习-Bayesian classification algorithm for data mining beginners to learn
decisionTreeC4.5
- （1）分类精度高；（2）成的模式简单；（3）对噪声数据有很好的健壮性。因而是目前应用最为广泛的归纳推理算法之一，在数据挖掘中受到研究者的广泛关注-(1) the classification accuracy is high (2) model is simple (3) has good robustness to noise data. It is currently one of the most widely used inductive reasoning algorithm, r
data-classification
- 最短距离分类算法，是数据挖掘算法中的一种，功能就是实现坐标点的分类。-The shortest distance classification algorithm, a data mining algorithm, the function is to realize the coordinate points classification.
data-minin-for-text-classification
- 在数据挖掘中，比较典型的就是关于文本的分类，此文档介绍关于文本的分类方法-data minin for text classification
data-mining-for-classification
- 在数据挖掘中，比较典型的就分类预测，此文档对分类进行介绍-data minin for classification
svm-for-classification-or-extraction
- 在数据挖掘中利用支持向量机对特征进行提取和分类，词文档主要针对支持向量机方面的内容-svm for feature classification or extraction
src
- MLP数据挖掘里面的分类算法 -MLP data mining classification algorithm inside the MLP data mining classification algorithm inside
DM
- 这个是数据挖掘关于加利福利亚州的小区房价的分析与预测，所用的分类方法有决策树和神经网络-This is a classification of data mining analysis and prediction about California' s residential housing prices, the use of decision trees and neural networks have
Pattern-Classification_first_edition
- 模式分类的中文版。学习人工智能数据挖掘必备的图书。详细讲述了机器学习的各个方面。-The Chinese version of the pattern classification. Artificial intelligence, data mining learning essential books. Describe in detail all aspects of machine learning.
DataMining
- 酒数据挖掘，朴素贝叶斯分类器，把酒分成3类-Wine data mining, naive Bayes classifier, the wine is divided into three categories
julei
- 聚类分析又称群分析，它是研究（样品或指标）分类问题的一种统计分析方法，同时也是数据挖掘的一个重要算法-Clustering analysis is also called group analysis, which is the study of (samples or indexes) classification problem a method of statistical analysis is also an important algorithm of data mining
Introduction-to-Data-Mining
- 整体介绍数据挖掘定义及过程，对预处理、聚类、分类、关联规则讲解-Definitions and overall presentation of data mining process, pretreatment, clustering, classification, association rules explained
kmeans
- 使用数据挖掘中的k-means算法实现文本的分类-Using data mining k-means algorithm text classification
dbscan
- 数据挖掘的作业，基于DBSCAN的分类，数据集为iris，可以学习下-Data mining, classification based on DBSCAN, the data set is iris, you can learn under