搜索资源列表
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决策树C45,用matlab编写的,数据挖掘算法。,Decision Tree C45, prepared by matlab, data mining algorithms.
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层次分析法的具体MATLAB程序,这对于数据挖掘工作非常重要。,AHP specific MATLAB program, which is very important in data mining.
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使用matlab软件进行程序设计中的五个数据挖掘源程序代码。-Using matlab software programming for the five data mining source code.
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能够用matlab轻松实现id3算法,对数据挖掘起到很大帮助-Easily be able to use matlab implementation id3 algorithm, data mining has played a lot of help
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Data Mining toolboox that extracts Association Rules from numerical data files using a variety of selectable techniques and criteria
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基于matlab的关联规则在实际中的用途很广泛,欢迎使用-matlab apriori
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寻找测试样本的最近邻,可以有效的用于用于模式识别,信号处理-This is a small but efficient tool to perform K-nearest neighbor search, which has wide Science and Engineering applications, such as pattern recognition, data mining and signal processing.
The code was initially
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基于FCM的数据聚类分析及Matlab 实现
戈国华, 肖海波, 张敏
( 江西理工大学信息工程学院江西赣州341000 )
【摘要】: 聚类是数据挖掘中常用的数据分析技术。本文详细介绍了FCM聚类算法的理论和实现步骤。并用Matlab 演
示了FCM用于数据聚类。结果表明FCM算法是一种高效的数据聚类算法, 有很广泛的应用。-FCM clustering analysis based on the data and Matlab implementation Ge Guohua
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数据挖掘中计算JS距离,在matlab环境下的源代码-JS calculated from data mining, environment in the source code matlab
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The matlab code for the double spiral problem ( classification in data mining )
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数据挖掘中经典算法实现,可以节省不少时间哦-matlab code for classical algorithms in Data Mining
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matlab部分数据挖掘算法实现,现在数据挖掘已被人们熟知,matlab对算法有着重要的作用-matlab part of the data mining algorithms, data mining has now been known, matlab has an important role in the algorithm
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数据挖掘(Data Mining)阶段首先要确定挖掘的任务或目的。数据挖掘的目的就是得出隐藏在数据中的有价值的信息。数据挖掘是一门涉及面很广的交叉学科,包括器学习、数理统计、神经网络、数据库、模式识别、粗糙集、模糊数学等相关技术。它也常被称为“知识发现”。知识发现(KDD)被认为是从数据中发现有用知识的整个过程。数据挖掘被认为是KDD过程中的一个特定步骤,它用专门算法从数据中抽取模式(patter,如数据分类、聚类、关联规则发现或序列模式发现等。数据挖掘主要步骤是:数据准备、数据挖掘、结果的解释
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base papers of matlab data mining in image processing base papers
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matlab中关于神经元网络的工具箱
对于数据挖掘者很有帮助。尤其是哪些
初次接触神经元网络的-About the matlab neural network toolbox for data mining helpful. In particular, what are the initial contact with neural network
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本功能是第三届泰迪杯数据挖掘第三题水处理中的移到,里面有一年的水处理数据,每隔一个小时测量数据,用一个简单的非线性回归方程去建立水处理模型。-This function is the third teddy cup third topic in water treatment to the data mining, there are water treatment data of a year, every other hour measurement data, using nonlinea
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我编写的MATLAB程序,刚开始学些数据挖掘的只是,是分类的temp算法中的k均值聚类算法,模式识别大作业,在MATLAB temp1环境下,性能优良。
-I write MATLAB program, just started to learn some data mining only, is temp classification algorithm in the k-means clustering algorithm, pattern recognition large opera
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我编写的MATLAB程序,刚开始学些数据挖掘的只是,是分类的 rgzMlz 算法中的k均值聚类算法,模式识别大作业,在MATLAB BDULLpp环境下,性能优良。-I write MATLAB program, just started to learn some data mining only, is rgzMlz classification algorithm in the k-means clustering algorithm, pattern recognition large
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我编写的MATLAB程序,刚开始学些数据挖掘的只是,是分类的 azLqAT 算法中的k均值聚类算法,模式识别大作业,在MATLAB ZgzBvBj环境下,性能优良。-I write MATLAB program, just started to learn some data mining only, is azLqAT classification algorithm in the k-means clustering algorithm, pattern recognition large
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Fortunately, a pseudo code for this algorithm is available in Chapter 6 (sample chapter available for free download) of Introduction to Data Mining. Let's start with loading the example dataset used in the PDF and creating a binary matrix representat
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