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: |
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Author:尹哲 |
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Description: apriori算法的java代码，APRRORI算法使用频繁项性质的先验知识，逐层搜索迭代，用K-项集产生(K+1)-项集。APRRORI算法的一个显著特点是:利用APRIORI性质，压缩了频繁项集，提高了算法的效率。
-apriori algorithm java code, APRRORI algorithm uses the a priori nature of frequent itemsets knowledge, step by step iterative search using K-itemsets generated (K+ 1)- itemsets. APRRORI algorithm A significant feature is: the nature of the use of APRIORI, compression of the frequent itemsets, improve the efficiency of the algorithm. Platform: |
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Author:xinyuanwo |
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Description: 对k-means算法的一次java报告，包括了问题描述、设计要求、需求分析、详细设计、测试及运行结果、程序源码及注释、课程设计心得体会等几方面，比较详尽。-On the k-means algorithm is a java reporting, including the problem description, design requirements, needs analysis, detailed design, testing and operation results, program source code and comments, course design experience in several areas, experience, compare detailed. Platform: |
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Author:dglx |
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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: |
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Author:郭跃龙 |
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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: |
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Author:周生勇 |
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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: |
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Author:周生勇 |
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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: |
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Author:吴娟 |
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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: |
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Author:startrek
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