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[Graph program] Fuzzy-k-means DL : 1: 模糊核聚类及几篇文章，用于数据和图像的模糊聚类分割，效果还行-nuclear fuzzy clustering and articles for data and image segmentation fuzzy clustering, the results were OK
Date : 2008-10-13 Size : 1.32mb User : 张莉
[Graph program] mycluster_KM_DS DL : 0: 数据挖掘中的聚类算法，vc++实现，图形界面显示，直观清楚，很好，推荐下栽-data mining clustering algorithm, vc realization of a graphical interface, intuitive clear, very good, recommended crashed
Date : 2008-10-13 Size : 75.49kb User : 刘鹏
[Graph program] somjulei DL : 0: 两个som聚类算法，可以用于图象处理，数据挖掘，运行感觉不错，推荐！值得收藏！-two som clustering algorithm can be used in image processing, data mining, running good feeling recommended! Worth collecting!
Date : 2008-10-13 Size : 445.28kb User : 刘鹏
[Graph program] yk-kMEANS_3 DL : 0: k-均值算法实现聚类，已经带有测试数据，vc++6-k-means clustering algorithm has been tested with data vc 6
Date : 2008-10-13 Size : 9kb User : 袁珂
[Graph program] Fuzzy-k-means DL : 0: 模糊核聚类及几篇文章，用于数据和图像的模糊聚类分割，效果还行-nuclear fuzzy clustering and articles for data and image segmentation fuzzy clustering, the results were OK
Date : 2025-12-20 Size : 1.32mb User : 张莉
[Graph program] mycluster_KM_DS DL : 0: 数据挖掘中的聚类算法，vc++实现，图形界面显示，直观清楚，很好，推荐下栽-data mining clustering algorithm, vc realization of a graphical interface, intuitive clear, very good, recommended crashed
Date : 2025-12-20 Size : 2.14mb User : 刘鹏
[Graph program] somjulei DL : 0: 两个som聚类算法，可以用于图象处理，数据挖掘，运行感觉不错，推荐！值得收藏！-two som clustering algorithm can be used in image processing, data mining, running good feeling recommended! Worth collecting!
Date : 2025-12-20 Size : 638kb User : 刘鹏
[Graph program] yk-kMEANS_3 DL : 0: k-均值算法实现聚类，已经带有测试数据，vc++6-k-means clustering algorithm has been tested with data vc 6
Date : 2025-12-20 Size : 9kb User : 袁珂
[Graph program] SPy-0.3 DL : 0: Spectral Python (SPy) is a python package for reading, viewing, manipulating, and classifying hyperspectral image (HSI) data. SPy includes functions for clustering, dimensionality reduction, supervised classification, and more.
Date : 2025-12-20 Size : 211kb User : john
[Graph program] cluster_algorithm DL : 0: 包括分解聚类算法和k-均值聚类算法，内有用到的数据文本文件，开发环境Visual Studio .NET2003-Including the decomposition clustering algorithm and k-means clustering algorithm, with useful data to a text file, development environment Visual Studio. NET2003
Date : 2025-12-20 Size : 997kb User : 杨洋
[Graph program] 12358964fcmdemo DL : 0: 是遗传聚类的demo，参照自己的数据对程序进行小小的改编即可，使用简单方便。-Are genetic clustering demo, with reference to its own data on the procedure can be little adaptation, the use of easy and convenient.
Date : 2025-12-20 Size : 5kb User : tang
[Graph program] kmeans2 DL : 0: 数据挖掘k-means算法实现，数据随机生成，维数和聚类数据量自己设置。-Data Mining k-means algorithm, randomly generated data, clustering data dimension and the volume of their own settings.
Date : 2025-12-20 Size : 325kb User : 日新
[Graph program] NNclust DL : 0: Neural Network Based Clustering using Self Organizing Map (SOM) in Excel Here is a small tool in Excel using which you can find clusters in your data set. The tool uses Self Organizing Maps (SOM) - originally proposed by T.Kohonen as the method for clustering. * Neural Network based Clustering tool in Excel (209 KB in Zipped format. 947 KB when unzipped.) Inside the downloaded zip file, you will find the Excel file containing the application. Before running it, I suggest that you go through the ReadMe worksheet. It contains brief instructions on how to run the tool. If you are interested in building Prediction and Classification models in Excel using Feedforward-Backpropagation Neural Network, here are two small Excel based tools for you. Also, if you are interested in Tree based Classification models, here is a Tree based classifier in Excel. -Neural Network Based Clustering using Self Organizing Map (SOM) in Excel Here is a small tool in Excel using which you can find clusters in your data set. The tool uses Self Organizing Maps (SOM)- originally proposed by T.Kohonen as the method for clustering. * Neural Network based Clustering tool in Excel (209 KB in Zipped format. 947 KB when unzipped.) Inside the downloaded zip file, you will find the Excel file containing the application. Before running it, I suggest that you go through the ReadMe worksheet. It contains brief instructions on how to run the tool. If you are interested in building Prediction and Classification models in Excel using Feedforward-Backpropagation Neural Network, here are two small Excel based tools for you. Also, if you are interested in Tree based Classification models, here is a Tree based classifier in Excel.
Date : 2025-12-20 Size : 209kb User : Jessie
[Graph program] sift_0_9 DL : 0: sift算法0.9版；对数据进行提取后聚类；采用聚类算法k-means-sift algorithm version 0.9 right after extracting the data clustering using k-means clustering algorithm
Date : 2025-12-20 Size : 84kb User : rockey_jiang
[Graph program] mode DL : 0: 基于VC的各种聚类和分类算法程序。手写数字或者打开已有的手写数字图像后，在右视图空白处，单击鼠标左键，激活右视图，选择菜单中的各种分类算法，可以对手写数字进行分类。有模板匹配分类器、Bayes分类器、线性函数分类法、非线性分类法、神经网络分类器。在左视图上单击鼠标左键，可获得3种数据源：标准数字聚类、手画图形聚类、位图文件分析聚类。可以进行特征提取、模糊聚类和遗传算法。-VC-based clustering and classification algorithm for a variety of procedures. Handwritten numbers or open an existing handwritten digital images, the empty space in the right view, click the left mouse button to activate the right view, select the menu, the various classification algorithms can be handwritten digits classification. There template matching classifier, Bayes classifier, a linear function of classification, non-linear classification, neural network classifier. In the left view, click the left mouse button, access to three kinds of data sources: a standard digital cluster, hand-painted graphics clustering, clustering analysis of bitmap file. Can feature extraction, fuzzy clustering and genetic algorithm.
Date : 2025-12-20 Size : 3.03mb User : ft5272633
[Graph program] clustering DL : 0: 这是一个非常有用的聚类程序,可以将不同的数据,形状聚成一类,能成功运行,和大家分享-This is a very useful clustering procedure can be different data, the shape of clustered into one group can run successfully, and to share
Date : 2025-12-20 Size : 7.55mb User : zangying
[Graph program] KECA DL : 4: Kernel Entropy Component Analysis,KECA方法的作者R. Jenssen自己写的MATLAB代码，文章发表在2010年5月的IEEE TPAMI上面-Kernel Entropy Component Analysis, by R. Jenssen, published in IEEE TPAMI 2010. We introduce kernel entropy component analysis (kernel ECA) as a new method for data transformation and dimensionality reduction. Kernel ECA reveals structure relating to the Renyi entropy of the input space data set, estimated via a kernel matrix using Parzen windowing. This is achieved by projections onto a subset of entropy preserving kernel principal component analysis (kernel PCA) axes. This subset does not need, in general, to correspond to the top eigenvalues of the kernel matrix, in contrast to the dimensionality reduction using kernel PCA. We show that kernel ECA may produce strikingly different transformed data sets compared to kernel PCA, with a distinct angle-based structure. A new spectral clustering algorithm utilizing this structure is developed with positive results. Furthermore, kernel ECA is shown to be an useful alternative for pattern denoising.
Date : 2025-12-20 Size : 3kb User : johhnny
[Graph program] Wallpapers-based-on-mean-shift DL : 0: 本程序首先把图像由RGB空间转到HSI空间，然后利用彩色图像分割策略以及meanshift算法对图像进行分割最后加入边界合成。其中‘keyprogram.m’文件为主程序，‘meanshift.m’文件为调用函数，实现数据的聚类分割。-The program first the image from the RGB space to HSI space and then using color image segmentation strategy and meanshift image segmentation algorithm synthesis of the last to join the border. Which ' keyprogram.m' file-based program, ' meanshift.m' file to call the function, data clustering segmentation.
Date : 2025-12-20 Size : 158kb User : 刘常云
[Graph program] chameleon-data.tar DL : 1: 这个是cluto的数据集。用它可以测试该项目的聚类性能。-This data set is cluto. You can use it to test the clustering performance of the project.
Date : 2025-12-20 Size : 288kb User : liu
[Graph program] 3 DL : 0: 聚类金字塔树-一种新的高维空间数据索引方法提出了一种新的有效的高维空间数据索引方法聚类金字塔树.它先对不均匀分布数据进行聚类处理,然后对聚类的结果实施金字塔分割和存储,由此建立一种有效的索引结构.文中给出了聚类金字塔树的几种查询算法.实验证明:处理不均匀分布数据时,聚类金字塔树无论在页面访问次数,还是在CPU总占用时间上都优于金字塔树. -Pyramid Tree Cluster- A new high-dimensional data indexing method presents a new and effective method for high dimensional spatial data indexing- Pyramid clustering tree it first on the uneven distribution of data clustering, and then results clustering implementation pyramid segmentation and storage, thereby establishing an effective index structure paper presents several query clustering algorithm pyramid tree proved: when dealing with the uneven distribution of data, both in the clustering tree pyramid page visits, or in the total of occupied CPU time is better than the pyramid tree.
Date : 2025-12-20 Size : 252kb User : fangsm1

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