搜索资源列表
medoids
- 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
JAVA实现文本聚类，用到TF/IDF权重
- JAVA实现文本聚类，用到TF/IDF权重，用余弦夹角计算文本相似度，用k-means进行数据聚类等数学和统计 知识。,JAVA realization of text clustering, using TF/IDF weight, calculated using cosine angle between the text of similarity, using k-means clustering for data such as mathematical and statistical
kMedoids.rar k-中心聚类算法的matlab实现
- 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.
dataMining.rar
- 数据挖掘的软件，集成了关联规则、k-均值聚类、模糊聚类、k-中心点聚类四种算法,software of data mining
k-meansjava.rar
- 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,
k-medoids
- 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
聚类K-Medoids算法
- 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 descr iption of the procedures and examples.
K-Means
- 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.
K_Medoids
- K-medoids算法的实现，c++实现-K-medoids cluster algorithm
k-means_cl210447332008
- it is Also Kmeans Algorithm in java.
jpg2ppm
- 图片格式由jpg转换成ppm, K. MIKOLAJCZYK University of Oxford, OX1 3PJ, Oxford, United Kingdom-Jpg image format conversion to ppm, K. MIKOLAJCZYK University of Oxford, OX1 3PJ, Oxford, United Kingdom
newkqpso
- 对k-medoids与qpso结合的算法进行改进。选择调用qpso优化，降低运行时间，提高算法的执行效率。-Pairs of k-medoids algorithm combined with the qpso improvements. Select call qpso optimization, reducing operating time and improve the efficiency of the implementation of the algorithm.
k-means_Program
- 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: t
K-medoids-with-the-analysis-
- 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 c
k-medoids
- 聚类算法中的k-medoids算法，和 k-means 肯定是非常相似的。事实也确实如此，k-medoids 可以算是 k-means 的一个变种。k-medoids 和 k-means 不一样的地方在于中心点的选取，在 k-medoids 算法中，我们将从当前 cluster 中选取这样一个点——它到其他所有（当前 cluster 中的）点的距离之和最小——作为中心点。-Clustering algorithm k-medoids algorithm, and k-means is certa
k-mean+k-medoids
- 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)
k-mediod-PAM
- k-medoids with matlab is very strong
k-medoids
- k-medoids聚类算法对数据进行分类处理(k-medoids Clustering algorithm for data classification)
K-Medoids Clustering
- K-Medoids Clustering
KM
- 基于k-medoids算法的改进算法，在第五代移动通信中D2D通信中的应用。(The improved algorithm based on k-medoids algorithm is applied to D2D communication in the fifth generation mobile communication.)