Welcome![Sign In][Sign Up]
Location:
Search - java code k means clustering

Search list

[JSP/Javakmeans_java

Description: k-means聚类算法的java代码实现,良好的代码风格,适合扩充-k-means clustering algorithm to achieve the java code, the code of good style, suitable for expansion
Platform: | Size: 4690 | Author: 谭锋 | Hits:

[JSP/Javakmeans_java

Description: k-means聚类算法的java代码实现,良好的代码风格,适合扩充-k-means clustering algorithm to achieve the java code, the code of good style, suitable for expansion
Platform: | Size: 4096 | Author: | Hits:

[AI-NN-PRK_Means

Description: k-means是一种经典的聚类算法,这是用java实现k-means的源码,其中包括了测试数据文件-k-means is a classical clustering algorithm, which is used k-means realize java source code, including test data files
Platform: | Size: 4096 | Author: 尹哲 | Hits:

[Mathimatics-Numerical algorithmsKMEANS

Description: K-MEANS算法 输入:聚类个数k,以及包含 n个数据对象的数据库。 输出:满足方差最小标准的k个聚类。 处理流程: (1) 从 n个数据对象任意选择 k 个对象作为初始聚类中心; (2) 循环(3)到(4)直到每个聚类不再发生变化为止 (3) 根据每个聚类对象的均值(中心对象),计算每个对象与这些中心对象的距离;并根据最小距离重新对相应对象进行划分; (4) 重新计算每个(有变化)聚类的均值(中心对象)-K-MEANS algorithm Input: cluster number k, and contains n data object database. Output: the minimum standards to meet the variance k-clustering. Deal flow: (1) a data object from the n choose k object as initial cluster centers (2) cycle (3) to (4) until a change in each cluster is no longer so far (3) according to each Clustering objects mean (central object), calculated for each object with these centers to object distance and in accordance with a minimum distance between a re-division of the corresponding object (4) re-calculated for each (change) clustering of the mean (central object )
Platform: | Size: 3072 | Author: 快快 | Hits:

[JSP/Javacluster1

Description: it is java code for k means clustering algorithm
Platform: | Size: 9216 | Author: Nagaraj | Hits:

[Compress-Decompress algrithmskmeans

Description: this is a very good code for k means clustering. works quite fast. can download for school assignments.
Platform: | Size: 8192 | Author: tangytan | Hits:

[2D GraphickMeans

Description: k-mean image clustering source code developed using java
Platform: | Size: 2048 | Author: deepak | Hits:

[JSP/Java83390049kmeans_clustering

Description: k-means聚类算法的java代码实现-k-means clustering algorithm java code
Platform: | Size: 5120 | Author: arron | Hits:

[JSP/JavaK_means

Description: This code is K-means clustering code written in java.
Platform: | Size: 2048 | Author: prasad halgaonkar | Hits:

[AI-NN-PRk-means

Description: 数据挖掘算法源代码 k-means聚类算法的C#代码-Source code data mining algorithms k-means clustering algorithm C# code
Platform: | Size: 102400 | Author: 张健飞 | Hits:

[JSP/JavaClusteringKMeans

Description: this code of clustering with k-means algorithm with java-this is code of clustering with k-means algorithm with java
Platform: | Size: 23552 | Author: linuxarna | Hits:

[Software Engineeringkmeans

Description: 用VC或Java实现K-means聚类算法,分别以迭代次数及分配不再发生变化为算法终止条件,用图片(自己选择)作为数据集,比较运行时间(画出时间与像素点的关系曲线图,因此须用多幅像素个数不同的图片进行实验),提交实验报告与源代码。-K-means clustering algorithm for algorithm termination conditions, with a picture (their choice) as a data set to compare the running time (draw time and the relationship of the pixels, respectively, the number of iterations and distribution no longer changes with VC or Java experimental curve, so to use pictures of different pieces of the number of pixels), submitted to the lab report with source code.
Platform: | Size: 8127488 | Author: 郭跃龙 | Hits:

[Software EngineeringClusteringAnalysis

Description: java实现的K-Means文本聚类文章,采用英文撰写,需要源码的可以发邮件lixinle@yahoo.cn。-java realize the K-Means Text Clustering articles written in English to the source code can email lixinle@yahoo.cn.
Platform: | Size: 215040 | Author: 李新乐 | Hits:

[Otherkmeans

Description: 数据挖掘kmeans图像聚类实验代码 用 VC 或 Java 实现 k-means 聚类算法, 分别以迭代次数及分配不再发生变化为算法终止条件,用图片(自己选择)作为数据集,比较运行时间(画出时间与像素点的关系曲线图,因此须用多幅像素个数不同的图片进行实验) 提交实验报告与源代码。-VC or Java k-means clustering algorithm, were no longer change the number of iterations and the allocation algorithm termination condition, pictures (of their choice) as a data set, comparing running time curve (draw time pixels map, and therefore subject to a multiple number of pixels picture experiment) submitted to the lab report and source code.
Platform: | Size: 1643520 | Author: 周生勇 | Hits:

[File Formatkmeans_report

Description: 数据挖掘kmeans图像聚类实验报告 用 VC 或 Java 实现 k-means 聚类算法, 分别以迭代次数及分配不再发生变化为算法终止条件,用图片(自己选择)作为数据集,比较运行时间(画出时间与像素点的关系曲线图,因此须用多幅像素个数不同的图片进行实验) 提交实验报告与源代码。 -Data mining to achieve the k-means clustering algorithm the kmeans image clustering experiment report with VC or Java, respectively, to the number of iterations and distribution no longer change the termination condition for the algorithm as a data set with a picture (of their choice), compare running time (painting out time and the graph showing the relationship of the pixel point, and is therefore subject to experiment with multiple number of pixels of different pictures) submitted to the lab report with the source code.
Platform: | Size: 3671040 | Author: 周生勇 | Hits:

[Windows Developkmeans_report

Description: 数据挖掘kmeans图像聚类实验,用 VC 或 Java 实现 k-means 聚类算法, 分别以迭代次数及分配不再发生变化为算法终止条件,用图片(自己选择)作为数据集,比较运行时间(画出时间与像素点的关系曲线图,因此须用多幅像素个数不同的图片进行实验) 提交实验报告与源代码-Data mining kmeans image clustering experiments, using VC or Java implementation of k-means clustering algorithm, respectively, and the distribution of the number of iterations of the algorithm terminates no change in the conditions, with a picture (of your choice) as the data set to compare the running time (painting graph of the relationship between time and the pixel is therefore subject to the number of pixels to experiment with different pieces of the picture) to submit test reports and source code
Platform: | Size: 4153344 | Author: 吴娟 | Hits:

[JSP/JavaclusterTest

Description: 用java语言实现k均值聚类的代码demo,可直接运行,无需调试。-Using java language k-means clustering code demo, it can be run directly without debugging.
Platform: | Size: 10240 | Author: YANYANYEAH | Hits:

[JSP/JavaKmeans

Description: 算法思想:提取文档的TF/IDF权重,然后用余弦定理计算两个多维向量的距离来计算两篇文档的相似度,用标准的k-means算法就可以实现文本聚类。源码为java实现(Algorithm idea: extract the TF/IDF weight of the document, then calculate the distance between two multidimensional vectors by cosine theorem, calculate the similarity of the two documents, and achieve the text clustering with the standard k-means algorithm. Source code for Java implementation)
Platform: | Size: 15360 | Author: startrek | Hits:

CodeBus www.codebus.net