Description: Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
一个可以实现多种方法分类的软件,利用各个
对象的属性。决策树,距离、密度等-Weka is a collection of machine learning al gorithms for data mining tasks. The algorithms can either be applied directly to a dataset or ca lled from your own Java code. Weka contains tool 's for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for d eveloping new machine learning schemes. can be a real Categories are various methods of software, using all the attributes of objects. Decision Tree, distance, density, etc. Platform: |
Size: 15446016 |
Author:马何坛 |
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Description: 应用java实现的svm支持向量机的分类算法!相信对svm感兴趣的朋友有很大帮助!-java application realized svm SVM classification algorithm! Believe that the right svm interested friends will be of great help! Platform: |
Size: 60416 |
Author:司祁 |
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Description: 分类算法,采用bagging方法来选择训练集,《机器学习及java实现》里面的-Classification algorithm, using bagging method to select the training set, the realization of machine learning and java inside Platform: |
Size: 3072 |
Author:王新 |
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Description: knn算法演示代码,可自动学习输入点,并形象表现输入点的最近k个邻居。-KNN algorithm demo code can be automatically input to learn, and the image input of the recent performance of k-neighbors. Platform: |
Size: 5120 |
Author: |
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Description: 多关联分类算法,ClassCMAR_App为主算法,能抽取分类关联规则,ClassCMAR_App10.java是采用10folder技术对分类模型的验证算法,程序运行命令.txt文件中有程序运行命令的详细介绍。-Multi-link classification algorithm, ClassCMAR_App-based algorithms, can be extracted classification association rules, ClassCMAR_App10.java is technology on the classification model 10folder verification algorithm, run the command. Txt file has run commands in detail. Platform: |
Size: 141312 |
Author:yang xuemei |
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Description: ID3决策树算法的JAVA实现:ID3算法是机器学习中的一种分类方法,本例子用java构建多叉树来实现id3算法。-ID3 Decision Tree Algorithm JAVA realize: ID3 machine learning algorithm is a classification method, the example of using java to build a multi-tree algorithm id3 realize. Platform: |
Size: 460800 |
Author:more |
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Description: 用JAVA语言实现的经典聚类算法k-means,聚类与分类不同,它是无监督的过程,-JAVA language used to achieve a classic clustering algorithm k-means, clustering and classification of different, it is the unsupervised process, Platform: |
Size: 8192 |
Author:刘年 |
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Description: 文本分类器 文本分类算法 详细介绍了算法过程-Text Classifier Algorithm for text classification algorithm described in detail the process of Platform: |
Size: 5120 |
Author:zw |
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Description: Short description: GUI Ant-Miner is a tool for extracting classification rules from data. It is an updated version of a data mining algorithm called Ant-Miner (Ant Colony-based Data Miner), which was proposed in 2002 by Parpinelli, Lopes and Freitas. GUI Ant-Miner differs from the original algorithm as follows: It has a friendly graphical user interface, makes possible the use of ant populations within the Ant Colony Optimization (ACO) concept, data input file is standardized with the well-known Weka system, and runs on virtually any operating system since it is written in Java. Platform: |
Size: 72704 |
Author:xiaochuzhe |
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Description: 基于weka的分类算法,用于weka拓展应用。朴素贝叶斯模型发源于古典数学理论,有着坚实的数学基础,以及稳定的分类效率。同时,该算法所需估计的参数很少,对缺失数据不太敏感,算法也比较简单。理论上,与其他分类方法相比具有最小的误差率。-Based on the classification algorithm weka, weka develop applications for. Naive Bayes model originated in the classical mathematical theory, has a solid mathematical basis, as well as the stability of the classification efficiency. At the same time, the algorithm estimates the parameters required for small, less sensitive to missing data, the algorithm is also relatively simple. In theory, when compared with other classification methods with the smallest margin of error. Platform: |
Size: 7168 |
Author:zhangrui |
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Description: 这是一个100 %纯Java库,您可以使用适用于N元
分析技术的过程分为文本文件。
该计划包括几个不同的分类算法, namelly
支持向量机,贝叶斯Logistic回归,神经网络分类和文本压缩 算法。如支持向量机和贝叶斯Logistic回归,一个 “一对一” 用于多类分类。更详细的说明这些学习算法和可用的选项,请提供的javadocs 。-It is a 100 pure Java library that you can use to apply N-Gram
analysis techniques to the process of categorizing text files.
The package includes several different categorization algorithms, namelly
SVMs, Bayesian Logistic Regression, NN classification and a text compression
based algorithm. In the case of SVM and Bayesian Logistic Regression, a
"one-against-one" apprach is used for multiclass classification. For a more detailed description of these learning algorithms and the available options please consult the supplied javadocs. Platform: |
Size: 838656 |
Author:liwen |
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Description: 文档分类,用K均值,加入了K的选择算法,不用人为设定聚类个数-Document classification, using K-means, joined the K of the selection algorithm, not the number of artificial clustering Platform: |
Size: 20480 |
Author:王 |
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