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[AI-NN-PRK-均值聚类算法C++编程

Description: K-均值聚类算法的编程实现。包括逐点聚类和批处理聚类。K-均值聚类的的时间复杂度是n*k*m,其中n为样本数,k为类别数,m为样本维数。这个时间复杂度是相当客观的。因为如果用每秒10亿次的计算机对50个样本采用穷举法分两类,寻找最优,列举一遍约66.7天,分成3类,则要约3500万年。针对算法局部最优的缺点,本人正在编制模拟退火程序进行改进。希望及早奉给大家,倾听高手教诲。-K-means clustering algorithm programming. Point by point, including clustering and clustering batch. K-means clustering of the time complexity of n* k* m, n samples, several types of k, m sample dimension. The time complexity is a very objective. Because if we use one billion times per second the computer using 50 samples of two exhaustive method to find the optimal set out again about 66.7 days, divided into three categories, offering 3,500 years. Local optimal algorithm against the shortcomings, I was prepared simulated annealing process improvements. Early Feng hope for everyone, listen to the master teachings.
Platform: | Size: 4096 | Author: 韩磊 | Hits:

[Algorithmmedoids

Description: 一个完整的以类的形式的k-medoids算法-to a complete category in the form of k-medoids algorithm
Platform: | Size: 1024 | Author: 小朱 | Hits:

[OtherK-modesalgorithm

Description: 模糊k均值聚类算法,一种在数据挖掘中聚类大型分类数据集的快速聚类方法-fuzzy k-means clustering algorithm, a data mining classification clustering large data sets quickly clustering method
Platform: | Size: 102400 | Author: 路虎 | Hits:

[Special EffectsK-Means

Description: K均值算法--- --- --- --VC代码编写-K 戮 霉脰渭脣茫 篓------ VC
Platform: | Size: 1647616 | Author: | Hits:

[matlabK-C

Description: 这是一个K中心点聚类算法C实现的,希望对大家有用-K this is a clustering algorithm C to achieve a focal point, and I hope useful for everyone
Platform: | Size: 2048 | Author: 黎艺行 | Hits:

[AI-NN-PRk-means

Description: 这是K均值算法,采用c语言编写,K的取值为2,大家可以改变K的值来进行测试-This is the K-means algorithm, using c language, K value of 2, we can change the value of K for testing
Platform: | Size: 320512 | Author: Gang Li | Hits:

[Windows Developk-median

Description: 这是一个关于k中心聚类的算法,希望大家指点。-It is a clustering algorithm k centers, I hope everyone pointing.
Platform: | Size: 593920 | Author: fanliutong | Hits:

[matlabcskmeans

Description: cskmeans 聚类算法的一种 1. 分裂法(partitioning methods):给定一个有N个元组或者纪录的数据集,分裂法将构造K个分组,每一个分组就代表一个聚类,K<N。而且这K个分组满足下列条件:(1) 每一个分组至少包含一个数据纪录;(2)每一个数据纪录属于且仅属于一个分组(注意:这个要求在某些模糊聚类算法中可以放宽);对于给定的K,算法首先给出一个初始的分组方法,以后通过反复迭代的方法改变分组,使得每一次改进之后的分组方案都较前一次好,而所谓好的标准就是:同一分组中的记录越近越好,而不同分组中的纪录越远越好。使用这个基本思想的算法有:K-MEANS算法、K-MEDOIDS算法、CLARANS算法;
Platform: | Size: 1024 | Author: lance | Hits:

[matlabk_medoids

Description: 聚类算法:k—medoids 方法。这儿选取一个对象叫做mediod来代替上面的中心 的作用,这样的一个medoid就标识了这个类。步骤: 1,任意选取K个对象作为medoids(O1,O2,…Oi…Ok)。 以下是循环的: 2,将余下的对象分到各个类中去(根据与medoid最相近的原则); 3,对于每个类(Oi)中,顺序选取一个Or,计算用Or代替Oi后的消耗—E(Or)。选择E最小的那个Or来代替Oi。这样K个medoids就改变了,下面就再转到2。 4,这样循环直到K个medoids固定下来。 这种算法对于脏数据和异常数据不敏感,但计算量显然要比K均值要大,一般只适合小数据量。 这里是MAtlab源代码。-err
Platform: | Size: 9216 | Author: 烈马 | Hits:

[Mathimatics-Numerical algorithmsK-Means

Description: K均值聚类算法 C++实现的K均值聚类算法。-K means clustering algorithm C++ Achieved K-means clustering algorithm.
Platform: | Size: 180224 | Author: ellen | Hits:

[Special Effectsk-means_cluster

Description: 通过将一幅图像的sift特征提取出来,然后对他们采用k均值方法进行聚类-By an image feature extraction sift out, and then on their way to the use of k-means clustering
Platform: | Size: 3830784 | Author: li | Hits:

[JSP/Javak-meansjava

Description: 用JAVA语言实现的经典聚类算法k-means,聚类与分类不同,它是无监督的过程,-JAVA language used to achieve a classic clustering algorithm k-means, clustering and classification of different, it is the unsupervised process,
Platform: | Size: 8192 | Author: 刘年 | Hits:

[matlabKMedoids

Description: 聚类K-Medoids算法。文件里面包含了详细的程序说明和示例。-K-Medoids clustering algorithm.The file contains a detailed description of the procedures and examples.
Platform: | Size: 19456 | Author: | Hits:

[matlabkMedoids

Description: k-中心聚类算法的matlab实现。直接读取文档数据,没有维限制。-k-Medoids clustering algorithm matlab implementation. Document data read directly, there is no dimension restrictions.
Platform: | Size: 2048 | Author: | Hits:

[JSP/Javak-means_Program

Description: k-means 算法接受输入量 k ;然后将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 algorithm to accept input k then n-k of data objects into a cluster in order to make the cluster available to meet: the object of the same cluster in the high similarity the similarity of different objects in clusters smaller. Cluster similarity is the use of the mean of each cluster obtained by objects in a " central object" (center of gravity) to be calculated.
Platform: | Size: 929792 | Author: Chenguang | Hits:

[Data structsK_Medoids

Description: K-medoids算法的实现,c++实现-K-medoids cluster algorithm
Platform: | Size: 1319936 | Author: 高三十 | Hits:

[matlabk-medoids

Description: k-medoids实现网络社区聚类,含有使用说明书和算法原理-k-medoids clustering for network communities, containing instructions and algorithm theory
Platform: | Size: 18432 | Author: yq | Hits:

[matlabK-medoids-with-the-analysis-

Description: 基于聚类的K中心点算法,附带说明文档,代码简单高效,很好的利用了矩阵的代数运算。数学思想较为高深,但通过仔细研读说明文档和动手操作,matlab数学分析能力可以得到有效的提高-K medoids clustering annotated document, the code is simple and efficient, good use of matrix algebra operations. Mathematical thinking is more profound, but by carefully studying the documentation and hands-on the Matlab mathematical analysis ability can be effective to improve
Platform: | Size: 10240 | Author: 菜包 | Hits:

[Mathimatics-Numerical algorithmsk-mean+k-medoids

Description: 机器学习中的两个基本算法,k-means 和k-medoids 通过学习英文课件,更好的理解算法内涵(Machine learning in the two basic algorithms, K-means and k-medoids through learning English courseware, better understanding of the algorithm connotation)
Platform: | Size: 543744 | Author: tink2123 | Hits:

[matlabk-medoids

Description: k-medoids聚类算法对数据进行分类处理(k-medoids Clustering algorithm for data classification)
Platform: | Size: 1024 | Author: 丶gorgerous | Hits:
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