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《Google Cluster Computing Faculty Training Workshop》讲义,对Google技术感兴趣可看一下-" Google Cluster Computing Faculty Training Workshop" Materials
Update : 2024-05-18 Size : 5921792 Publisher : gmt8

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matlab写的自己设计的自适应网络做iris聚类分析并分类的实验,算法不是很稳定,有一定参考价值-matlab write ,adaptive cluster analysis and classification of iris experiment, the algorithm is not very stable and have a certain reference value
Update : 2024-05-18 Size : 1024 Publisher : legendsino

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对一组样本通过C-means算法进行聚类分析,然后对聚类结果用感知器算法进行分类,是模式识别课程的实验。-Samples of a group through the C-means cluster analysis algorithm, and then the results of the clustering algorithm used to classify perceptron is a pattern recognition course experiment.
Update : 2024-05-18 Size : 2048 Publisher : 韩梅

k-means聚类算法 指定类别数为K,对样本集合进行聚类,聚类的结果由K 个聚类中心来表达,基于给定的聚类目标函数(或者说是聚类效果判别准则),算法采用迭代更新的方法,每一次迭代过程都是向目标函数值减小的方向进行,最终的聚类结果使目标函数值取得极小值,达到较优的聚类效果。-k-means clustering algorithm for specific classes of K, the collection of samples for clustering, clustering the results of clustering by the K centers to the expression of a given cluster based on the objective function (or the criteria for clustering effects) algorithm using iterative update methods, iterative process of each objective function value is reduced to the direction of the final clustering result, the objective function to obtain the minimum value to achieve better clustering results.
Update : 2024-05-18 Size : 1069056 Publisher : 李华琼

通过对聚类分析及其算法的论述,从多个方面对这些算法性能进行比较,同时以儿童生长发育时期的数据为例通过聚类分析的软件和改进的K-means算法来进一步阐述聚类分析在数据挖掘中的实践应用。-Through cluster analysis and discussion of algorithms, from a number of aspects of the performance of these algorithms compared to growth and development of children at the same time period as an example of the data through cluster analysis and improvement software K-means clustering algorithm to further elaborate analysis in the practice of data mining applications.
Update : 2024-05-18 Size : 10240 Publisher : 李华琼

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压缩包里面有四个函数,实现了常用的几种模糊聚类方法,附有较详细的注释-There are four functions in the file. these functions fulfills common method of fuzzy cluster. Commments are quite good
Update : 2024-05-18 Size : 2048 Publisher : 王晶

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最全面的硬盘信息检测工具,没有使用微软的WMI,完全使用API函数获龋可以获取磁盘固件版本、硬盘类型、硬盘型号、磁头数、扇区数、序列号、磁盘柱面、以及主从盘信息、磁盘空间大小,每扇区字节数,每簇扇区数等等详细的硬盘信息。支持用饼图显示检测出的信息,还附有一个很好的饼图绘制类文件,可以以百分比的饼图显示磁盘使用状态。最为高级的是可以获取磁盘的健康状态,如最差值等。-The most comprehensive detection of the hard disk information tool, do not use Microsoft' s WMI, fully using the API function by caries can get the firmware version of the disk, hard disk type, disk type, head number, sector number, serial number, disk cylinder, as well as master-slave disk information, disk space size, number of bytes per sector, the number of sectors per cluster and so detailed information on the hard disk. Support the use of pie charts show the detected information, but also with a good pie chart mapping types of documents can be as a percentage of the pie chart shows the use of state of the disk. Is the most advanced access to the health of the disk, such as the worst value.
Update : 2024-05-18 Size : 15360 Publisher : Missouri

开发环境VS.NET 统计决定,聚类中心个数。-Decision VS.NET development environment statistics, the number of cluster centers.
Update : 2024-05-18 Size : 126976 Publisher : 荣振

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:将K—means算法引入到朴素贝叶斯分类研究中,提出一种基于K—means的朴素贝叶斯分类算法。首先用K— me.arks算法对原始数据集中的完整数据子集进行聚类,计算缺失数据子集中的每条记录与 个簇重心之间的相似度,把记 录赋给距离最近的一个簇,并用该簇相应的属性均值来填充记录的缺失值,然后用朴素贝叶斯分类算法对处理后的数据 集进行分类。实验结果表明,与朴素贝叶斯相比,基于K—means思想的朴素贝叶斯算法具有较高的分类准确率。-: K-means algorithm will be introduced to the Naive Bayesian Classifier study, a K-means based on the Naive Bayesian classification algorithm. First of all, with K-me. arks algorithm focus on the raw data of the complete data subset of the cluster, the calculation of missing data for each subset of records and the similarity between the cluster center of gravity to the nearest record assigned to a cluster, and the corresponding attributes of the cluster means to fill the missing value record, and then use Naive Bayes classification algorithm to deal with the data set after classification. The experimental results show that compared with the Naive Bayes, K-means based on the thinking of Naive Bayes algorithm has higher classification accuracy.
Update : 2024-05-18 Size : 173056 Publisher : 李浩

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聚类是数据挖掘中重要的研究课题。文章介绍了聚类,讨论了聚类分析中的数据类型及其相异度,概括了数据 挖掘中常用的聚类方法。最后,提出了聚类研究中今后的若干发展趋势。-Clustering is an important data mining research. In this paper, clustering, cluster analysis discussed in the different data types and their degrees, a summary of commonly used data mining clustering method. Finally, the clustering of a number of future research trends.
Update : 2024-05-18 Size : 159744 Publisher : 李浩

Cluster validation program including Dunn s index, Davies-Bouldin Index and Scat-Dis index.-Cluster validation program including Dunn s index, Davies-Bouldin Index and Scat-Dis index.
Update : 2024-05-18 Size : 2764800 Publisher : lionking0000

Cluster validation program
Update : 2024-05-18 Size : 2768896 Publisher : lionking0000

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使用Matlab实现上市公司财务评价的模糊聚类分析-Listed companies to use Matlab to achieve the financial evaluation of fuzzy cluster analysis
Update : 2024-05-18 Size : 332800 Publisher : janet

matlabsas
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sas的聚类程序 可以当聚类的模版用 适用于初学者-sas cluster clustering procedure can be applied to the template to use for beginners
Update : 2024-05-18 Size : 21504 Publisher : 于其

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the best serial port component for delphi application. you can send receive serial port datas as byte string or cluster
Update : 2024-05-18 Size : 46080 Publisher : kadir

BooksSybil
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本文针对当前主要的WSNs路由协议进行了 比较分析。从分析中表明,每种协议之间是相互关联的,并且 一 个好的WSNs路由协议应具备如下特点:①动态地选择汇 聚节点的能力;②快速的数据融合技术;③随机路径选择能 力。通过对当前各种路由协议的分析与总结,可以看出将来 的WSNs路由协议的研究策略与发展趋势-In this paper, the main current routing protocols for WSNs a comparative analysis. From the analysis show that the agreement between each are interrelated, and a good WSNs routing protocol should have the following characteristics: ① dynamically choose the capacity of cluster nodes ② rapid data fusion technology ③ random path choice. Through a variety of routing protocols on the current analysis and summing up, we can see the future of WSNs routing protocol research and development trends
Update : 2024-05-18 Size : 375808 Publisher : 池尚琨

A small overview of cluster computing. The architecture, its performance and its advantages are explored.
Update : 2024-05-18 Size : 456704 Publisher : kiran

聚类集成的matlab程序,将集成学习算法引入聚类算法中,提高聚类算法的性能-cluster ensemble learning algorithom ,this algorithom put ensemble learning algorithom into the cluster algorithom to improve the capability .
Update : 2024-05-18 Size : 6144 Publisher : tanran

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《图像模式识别--VC++技术实现》/ 杨淑莹编著 配套cd 夲书介绍图像模式识别的各种算法及其编程实现。内容包括:模式识别的基夲槪念,模板匹配分类器,几何分类器,聚类分析,遗传算法聚类分析等。-" Image pattern recognition- VC++ technology to achieve" /杨淑莹edited夲book cd package introduced a variety of image pattern recognition algorithm and its programming. Include: Introduction to pattern recognition-based study夲, template matching classifier, geometric classifier, cluster analysis, genetic algorithm, such as cluster analysis.
Update : 2024-05-18 Size : 16743424 Publisher : stl

k-means cluster algorithm
Update : 2024-05-18 Size : 1028096 Publisher : who
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