搜索资源列表
-
0下载：
Weka，一个数据挖掘工具。功能包括：分类、聚类和关联规则等等。这是该开源软件的源代码，版本为3.5.7,Weka, a data mining tool. Features include: classification, clustering and association rules, etc.. This is the open source software source code, version 3.5.7
-
-
0下载：
决策树分类算法，c4.5，java语言进行描述的-Decision tree classification algorithm, c4.5, java language described
-
-
0下载：
基于分类方法的分形图像压缩，简单介绍了分形图像压缩方法的研究，期刊。-Based on the classification method of fractal image compression, a brief introduction of the fractal image compression methods, periodicals.
-
-
0下载：
Weka是一个超强功能的machine learning开发包-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, clas
-
-
0下载：
文本分类工具libsvm-2.9.zip
信息检索和数据挖掘的中用到的工具包，
里面有C++、JAVA、Python等多个语言版本-Libsvm-2.9.zip text classification tool for information retrieval and data mining tools used in the package, inside C++, JAVA, Python and other languages
-
-
0下载：
支持向量机的的3d坐标分类 由浏览器执行-Support vector machine classification of 3d coordinates
-
-
0下载：
本程序使用Java环境进行开发，实现了数据挖掘中的关联分类算法（Associative Classification）,源码中涵盖了FOIL分类方法的实现。-This project is written in JAVA, and implements the algorithm of Associative Classification in Data Mining. Furthermore，it includes the codes of Foil Algorithm in Machine
-
-
0下载：
java实现分割功能，对数据进行筛选，分类，排序等操作。-java split function, screening, classification, sorting and other operations on the data.
-
-
1下载：
分别利用java和C++实现的KNN文本分类算法，每个程序模块都有详细注释-Respectively, the use of java and C++ implementation of KNN text classification algorithm, each program module has detailed notes
-
-
0下载：
数据挖掘的贝叶斯分类算法的java实现-Bayesian classification algorithm for data mining
-
-
0下载：
这是一个实现文本分类的朴素贝叶斯方法，用java语言编写-This is a realization of Naive Bayesian text classification methods, written in java language
-
-
0下载：
实现了KNN文本的分类，KNN最近邻基于欧几里德距离的JAVA算法实现适用于初级学习KNN的初学者。-Realization of KNN text classification, KNN nearest neighbor JAVA algorithm for Euclidean distance implementation is applied to the primary learning KNN beginners based on.
-
-
0下载：
java 实现基于N-gram的文本分类算法-java based N-gram-based text classification algorithm
-
-
0下载：
数据挖掘 adaboost算法 java
实现分类问题回归问题
处理离散变量。连续变量-Data mining java adaboost algorithms
Deal with regression, classification
Handling discrete variables, continuous variables
-
-
0下载：
总结了Java开发过程中的所有异常信息的分类以及如何解决分类-Summed up the Java development process all exceptions classification information and how to solve the classification
-
-
0下载：
PV modules contain, MPPT module, BOOST module, inverter module, Simulation of the effect is very good, You can achieve data classification and regression pattern recognition.
-
-
1下载：
MOA Machine Learning for Streams。它包括一系列机器学习算法（分类，回归，聚类，异常值检测，概念漂移检测和推荐系统）以及评估工具。与WEKA项目相关的MOA也是用Java编写的，同时扩展到更严苛的问题。
https://moa.cms.waikato.ac.nz/(It includes a series of machine learning algorithms (classification, regression, clustering, outlier
-
