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: |
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Author:谭锋 |
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Description: Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
一个可以实现多种方法分类的软件，利用各个
对象的属性。决策树，距离、密度等-Weka is a collection of machine learning al gorithms for data mining tasks. The algorithms can either be applied directly to a dataset or ca lled from your own Java code. Weka contains tool 's for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for d eveloping new machine learning schemes. can be a real Categories are various methods of software, using all the attributes of objects. Decision Tree, distance, density, etc. Platform: |
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Author:马何坛 |
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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: |
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Author: |
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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 |
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Description: 数据挖掘聚类算法：SimpleKMeans源代码，采用JAVA语言编程实现-Clustering Algorithm of Data Mining: SimpleKMeans source code, the use of JAVA programming language Platform: |
Size: 7168 |
Author:liuchunju |
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Description: 各种聚类算法代码
都很好用的
各种聚类算法代码-Various clustering algorithms are very useful source of a variety of clustering algorithm code Platform: |
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Author:低调 |
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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: |
Size: 8127488 |
Author:郭跃龙 |
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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: 本代码是关于数据挖掘的层次聚类算法的java编程实例，请勿用于商业用途上-The code is java programming examples on data mining hierarchical clustering algorithm, not for commercial use Platform: |
Size: 40960 |
Author:旺旺 |
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Description: 本代码是关于数据挖掘的层次聚类算法的JAVA编程实例，请勿用于商业用途上-The code is JAVA programming examples on data mining hierarchical clustering algorithm, not for commercial use Platform: |
Size: 20480 |
Author:旺旺 |
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Description: 基于DBSCAN聚类算法的java源码，可以用于dbscan聚类-DBSCAN clustering algorithm based on the Java source code, can be used for DBSCAN clustering Platform: |
Size: 3072 |
Author:潘俊 |
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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: |
Size: 15360 |
Author:startrek
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