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DBSCAN
- Matlab --- --- --- --- --- --- --- --- --- --- --- --- - Function: [class,type]=dbscan(x,k,Eps) ------------------------------------------------------------------------- Aim: Clustering the data with Density-Based Scan Algorithm with Noi
p1
- hallenge to the use of supervised neural networks in data mining applications is to get explicit knowledge from these models. For this purpose, a clustering genetic algorithm for rule extraction from artiÞ cial neural networks is developed. T
clustering
- 应用系统聚类法,实现地理数据的聚类(不包括属性数据的聚类)-Application of cluster analysis, clustering achieve geographic data
VQ
- 利用C语言实现矢量量化算法，对数据进行聚类。-Using C language vector quantization algorithm, the data clustering.
SVMhybridsystem
- A distributed PSOSVM hybrid system with feature selection and parameter optimization -Abstract This study proposed a novel PSO–SVM model that hybridized the particle swarm optimization (PSO) and support vector machines (SVM) to improve the clas
JMinHEP-1.0.tar
- clustering iris data java
General_neural_network_of_clustering_algorithm
- 模糊聚类虽然能够对数据聚类挖掘，但是由于网络入侵特征数据维数较多，不同入侵类别间的数据差别较小，不少入侵模式不能被准确分类。本案例采用结合模糊聚类和广义神经网络回归的聚类算法对入侵数据进行分类。 -Although fuzzy clustering to cluster the data mining, but the characteristics of the network intrusion data more dimensions, different invasion was l
ie049626e
- hierarchical data clustering
sdh
- hierarchical data clustering
s02-5
- Power consumption is an important design criterion in the design of wireless sensor networks. Hybrid radio frequency/free space optical wireless sensor networks (RF/FSO WSN) have been proposed to reduce the energy consumption of traditional R
Matlab-Clusteranalysis-toolbox
- 数据聚类和模式识别MATLAB工具箱，完整的程序集-Data clustering and pattern recognition MATLAB toolbox, complete assembly
K-means-in-data-mining
- K-means Clustering in data mining
fcm
- 模糊C-均值聚类方法的原函数，不用再进行编写，直接可以哄-the function of FUZZY C CLUSTERING
LAC
- 利用LAC算法实现高维数据聚类，算法完整-LAC algorithm using high-dimensional data clustering, the algorithm complete
1
- 基于WEKA平台的文本聚类研究与实现 文本聚类是文本挖掘领域的一个重要研究分支，是聚类方法在文本处理领域的应用。本文对基于空间向量模型的文本聚类过程做了较深入的讨论和总结，利用文本语料库，基于数据挖掘工具研究并实现了文本聚类的过程。本文首先给出了文本聚类的思想和过程，回顾了文本聚类领域的已有成果，列举了文本聚类领域在特征表示、特征提取等方面的基础研究工作。另外，本文回顾了现有的文本聚类算法，以及常用的文本聚类效果评价指标。在研究了已有成果的基础上，本文利用20 Newsgroup文本语料库，
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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
rbf_jm
- 软测量氧含量数据工况聚类、建模matlab实现代码-Measuring the oxygen content of soft data clustering conditions, modeling matlab implementation code
sanlei
- 软测量氧含量数据工况聚类、建模matlab实现代码2-Measuring the oxygen content of soft data clustering conditions, modeling the implementation code 2 matlab
shuchufenlei
- 软测量氧含量数据工况聚类、建模matlab实现代码3-Measuring the oxygen content of soft data clustering conditions, modeling matlab implementation code 3
A-survey-on-subspace-clustering--pattern-based-cl
- Clustering high-dimensional data A survey on subspace clustering, pattern-based clustering, and correlation clustering-Clustering high-dimensional data A survey on subspace clustering, pattern-based clustering, and correlation clustering