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shujuwajuexitongyanjiu
- ：现有NIDS 的检测知识一般由手工编写，其难度和工作量都较大。将数据挖掘技术应用于网络入侵检测，在Snort 的 基础上构建了基于数据挖掘的网络入侵检测系统模型。重点设计和实现了基于K-Means 算法的异常检测引擎和聚类分析模 块，以及基于Apriori 算法的关联分析器。实验结果表明，聚类分析模块能够自动建立网络正常行为模型，并用于异常检测， 其关联分析器能够自动挖掘出新的入侵检测规则。
K means mpi
- K means mpi
corrected
- k means clustering algorithm
DBSCAN
- Matlab --- --- --- --- --- --- --- --- --- --- --- --- - Function: [class,type]=dbscan(x,k,Eps) ------------------------------------------------------------------------- Aim: Clustering the data with Density-Based Scan Algorithm with Noi
TextLinesegmentationofhistoricalArabicdocuments.r
- This paper presents a text line segmentation method for printed or handwritten historical Arabic documents. Documents are first classified into 2 classes using a K-means scheme. These classes correspond to document complexity (easy or not eas
cluster-1.50
- hgc的clustering算法源码，包括k-means等-hgc s clustering algorithm source, including k-means method.
kmlocal-1.7.2
- KMlocal:一个k-means算法测试程序-KMlocal: A Testbed for k-means Clustering Algorithms
K4
- K均值算法 利用K均值方法对数据进行分类，将数据按自己要求进行分类-K-means algorithm using K-means method for data classification, data classified according to their own requirements
kmeans
- 里边讲述的是 C++，数据挖掘中最经点的K-means算法，希望对大家有帮助。-The inside about C++, by the K-means algorithm, data mining, most everyone.
kMean
- k-means 算法接受参数 k ；然后将事先输入的n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。-k-means clustering
k-means
- 本代码主要实现了k均值聚类算法，通过c++在vc软件下实现聚类。-The code is mainly achieved k-means clustering algorithm, c++ in vc achieve clustering software.
advance-_kmeans
- 一种改进的k均值聚类算法，在matlab平台上测试已经通过-An improved k-means clustering algorithm on matlab platform test has been passed.
KMeans
- C++ 实现K-means，机器学习部分,附带测试数据-C++ realize K-means, Machine Learning
k-meansPP-clustering-1
- K means algorithm implemented using NS2
JLearn
- 用java语言编写，实现DBSCAN、K-Means、HRcluster等三种聚类算法-Java language to achieve DBSCAN, K-Means, HRcluster clustering algorithm, three
Cproject
- 利用c语言编写，用k_means 分类方法实现对数据分类。-k-means
KMeans
- k-Mean 聚类,是聚类方法中运用最广泛的一种聚类算法-K-means clustering
Untitled3
- 根据实验数据设计K 均值聚类分析分类器。-Classification is based on experimental data analysis design K-means clustering.
adaptcluster_kmeans_2
- Adaptive k means clustering code
K-menas
- k-means聚类,用于聚类研究的基本算法，值得学习。-k-means cluster