搜索资源列表
ganzhiqi
- 模式识别中关于感知器算法的程序,输入点进行聚类.-pattern recognition algorithm on the perception of the process, input cluster.
CURE
- 数据挖掘算法之一,基于代表点的CURE聚类算法,该算法先把每个数据点看成一类,然后合并距离最近的类,直至类个数为所要求的个数为止。-CURE cluster algorithm based on representive point,one of data mining algorithms,classifies each data as a category firstly, then unifies categories with the nearest distance into one
三维自组织特征映射神经网络程序
- 绘制三维数据的散点图,并进行SOFM聚类的matlab程序。
classanalysis.rar
- 1)解压缩 2)打开“聚类分析软件”文件夹,点击“聚类分析.msi”安装程序,在安装向导中选择安装目录,安装完成。 3)打开Matlab软件程序,将当前工作目录设为“聚类分析”的安装目录,在命令行中输入“Cluster”命令,即可打开聚类分析软件。 4)内有多种模式识别方法可以使用 ,1) Extract 2) Open the
KMedios.rar
- 数据挖掘中 K中心点算法 测试数据为iris 数据库采用sql server 聚类算法,Data mining algorithms in test data for the K center iris database using sql server clustering algorithm
k-means-segamen-method
- 本实验基于K-Means聚类算法思想实现了字符分割,因为车牌规定是7位的,所以K取7。另外本实验对K-Means算法进行了改进,充分考虑了初始点的设置及迭代结束条件。实验结果证明这种改进的K-Means算法实现车牌字符分割是快速、有效的。-In this study, K-Means clustering algorithm based on the ideology of the character segmentation, because the license plate require
kmeans-plusPlus
- K-means++算法实现,加强了初始聚类点的选取(careful seeding)-K-means++ algorithm to enhance the selection of the initial clustering points (careful seeding)
aaa
- 本次的算法是相位周期展开聚类,读取256个点 根据拉格朗日插值分数维延时的信号,然后在频率点上展开读取,根据2pi延长相位计算时延!-The cycle phase of the algorithm is to start clustering, read the 256-point Lagrange interpolation based on fractal dimension of the signal delay, and then started to read the frequen
K_Mean
- K均值KMean聚类算法,详细使用方法见cpp文件注释,输入数据格式:点,如 1 空格 1 回车 2 空格 2 。。。 -K-means clustering algorithm KMean detail see cpp files to use notes, input data formats: point, such as 1 Enter 2 spaces 1 space 2. . .
selfAffinity
- AP是在数据点的相似度矩阵的基础上进行聚类.对于规模很大的数据集,AP算法是一种快速、有效的聚类方法,这是其他传统的聚类算法所不能及的,-A semi-supervised clustering method based on affinity propagation (AP) algorithm is proposed in this paper. AP takes as input measures of similarity between pairs of data points. AP
Java
- 数据挖掘 统计学习 分类聚类离散点分布插件小程序-Statistical learning data mining classification clustering distribution of discrete points applet plug-ins
weka-src
- weka源代码 最全最新的 数据挖掘用机器学习实现。包含聚类 分类 关联规则 离群点监测。java平台-weka most up-to-date source of data mining using machine learning to achieve. Clustering association rules classification contains outliers monitoring. java platform
Autoclust.pdf.tar
- 这就是点集自动聚类的算法,基于delaunay三角剖分。-This is the point set automatic clustering algorithm, based on the delaunay triangulation.
xuzhuol
- 基于改进K-means的压缩IP 由于k-means本身受异常点影响较大,这里采用迭代k-means的方法,降低异常点的影响,减少计算量和提高聚类数目的灵活性。并添加合并异常聚类方法,提高聚类的均匀性-K-means based on improved compression IP As k-means itself is influenced by outliers, where an iterative k-means method to reduce the impact of o
DBSCANClusteringAlgorithm
- 聚类算法MATLAB程序实现,聚类(Cluster)分析是由若干模式(Pattern)组成的,通常,模式是一个度量(Measurement)的向量,或者是多维空间中的一个点。聚类分析以相似性为基础,在一个聚类中的模式之间比不在同一聚类中的模式之间具有更多的相似性。-DBSCAN_Clustering Algorithm
FCM
- ,将其与模糊C2均值(fuzzy C2mean , FCM) 聚类方法结合设计了一种进化FCM故障识别方法。该方法通过离线优选虚拟标准样本,达到快速、准确在线识别故障的目的,很好地解决了FCM算法经常收敛到局部极值点 的问题-this paper describes fcm and ga combining successfully.it can solve the problem easily!
k-means
- 用c程序和matlab分别试验一种k-means改进算法,按照方法选取聚类中心点,事实证明,这种改进是有效的。-Matlab with c procedures and were experimenting with an improved k-means algorithm, in accordance with the method of selecting cluster center, the facts show that this improvement is effective.
k-means-new
- 聚类算法的C++实现,实现了一维点的聚类,命令行输入-Clustering algorithm C++ implementation to achieve the one-dimensional point of the cluster, the command line enter
cluster
- 基于kemans算法的聚类,初始点投放基于最远距离的方法-Clustering algorithm based on kemans, the initial point of delivery methods based on the most remote
ISODATA
- ISODATA算法实现。通过该算法对平面内产生的点进行聚类。编译运行,在程序客户区双击左键,按照参数设置对话框的说明设置参数,选择“产生模式”或“参数设置”,可产生模式或对已产生的模式进行聚类。-The realization of ISODATA algorithm.Generate and run the .exe file, set the parameters according the dialog,you can get the result!