搜索资源列表
K-meansjava_v1
- 用k-means算法进行聚类分析（java）。已运行成功。-By k-means clustering analysis algorithm（java）. Has been running successfully.
K-means_C
- K均值聚类算法，由C语言编写，可以自己调整迭代次数，超级好用-K-means clustering algorithm, the C language, you can adjust their iterations, super easy to use
PCaK-means
- 基于相位一致性与K-means方法的结合边缘检测-PC and K-means
K-SVD
- K均值，K-SVD算法，字典学习，英文版算法的翻译-K-means, K-SVD algorithm, dictionary learning algorithm in English translation
k-meansClustering
- 这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。-Where k-means clustering, is given in advance the number of classes contained in the original data, then the data contained similar characteristics grouped into a single class.
k-meansII
- this file is developed the k-means|| algorith to clustring big data
K-menas
- k-means聚类,用于聚类研究的基本算法，值得学习。-k-means cluster
k-meansaSOFM
- 已知一组二维模式矢量如下（20个）,利用k均值聚类算法将模式集分类，并计算出聚类中心。利用输入层为2个神经元，输出层结构为7*7方阵的自组织映射（SOFM）对同样模式进行聚类-Given a set of two-dimensional pattern vector as follows (20), the use of k-means clustering algorithm to classify the pattern set, and calculate the cluster cent
K-Means
- K-MENAS算法是最简单的聚类算法，适合对于初学者的学习和改进使用-K-MENAS algorithm is a clustering algorithm is the most simple, suitable for beginners to learn and use improved
k-means
- k聚类分析 k聚类分析 k聚类分析 -k clustering analysis
means
- 本附件中是关于K-means阈值分割的代码，主要用于图像分割领域-it is k-means image processing code
K-means
- K-meams alg in matlab
K-MeansAlgorithm
- K-Means Algorithm in C#
csk-means
- 这是一种我自己比较满意的K-means聚类算法，通过对原始的K-means进行改进而来。-This is a way I quite satisfied with K-means clustering algorithm, through the original K-means to improve from.
2k-means
- 基于matlab的二分k均值聚类算法，经过仿真实验成功。-Bipartite k-means clustering algorithm based on matlab, after successful simulation.
K-Means_based_Artificial_Bee_Colony
- This code is a data clustering algorithm based on Artificial Bee Colony. this code provides more accurate results than k-means algorithm.
K-Kmeans_plus_Plus
- k-means++ is an improved version of kmeans algorithm that proposed a new initialization technique for the k-means clustering algorithm. It was proposed in 2007 by David Arthur and Sergei Vassilvitskii, as an approximation algorithm for the NP-hard
K-Kmedoids
- k -medoids algorithm is a clustering algorithm related to the k -means algorithm and the medoidshift algorithm.
k-mean-clustering
- k-means algorithm descr iption with examples with visual basic code.
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