搜索资源列表
kmeans_matlab
- 使用matlab进行实现的kmeans算法。数据集。-use Matlab for achieving the kmeans algorithm. Data sets.
KMEANS
- C++版本的kmeans算法，可以实现任意维度，任意数量的聚类，输出信息非常完整。-C++ version of the kmeans algorithm can achieve any dimension, any number of clustering, the output information is complete.
kmeans
- 这是用C++编写的数据挖掘的聚类算法。算法中使用了链表结构做为存储数据的容器。-It is written in C++, data mining clustering algorithm. Algorithm is used to store data as a linked list structure of the container.
Kmeans
- Kmeans algorithm source code.
kmeans-in-statistics
- 这是K-means聚类算法的源代码，可实现任意多统计数据的归类处理。代码为原创，用途主要在数理统计方面，而不是常见的图像处理等方面。内附详细的使用说明。-This is the K-means clustering algorithm source code, enabling the classification of any number of statistical data processing. Code for my original, uses mainly in mathemat
FB_DataMing_kmeans
- k-means数据挖掘算法，基于kmeans聚类算法工艺参数基准值的挖掘-mining data mining of the k-means algorithm, based on the kmeans clustering algorithms process parameters reference value
KMEANS
- This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers u
3upload
- This algorithm is designed to segment an satellite image using Kmeans, and then all kmeans clusters Satellite image (target image) and template image using local binary pattern (LBP) and then applied various template matching techniques between LBP K
moshi
- kmeans算法人脸识别算法等等，程序恒详细-kmeans algorithm face recognition algorithms, etc., detailed procedures Heng
kmeans
- kmeans i mage segmentation algorithm.-kmeans is image segmentation algorithm.
kmeans
- k_means方法的聚类算法，多维数据可用-clustering algorithm k_means methods, multidimensional data is available
KMeans
- kmeans算法的实现，prefixspan算法-achieve kmeans algorithm, prefixspan algorithm
KMeans
- K-均值聚类算法，属于无监督机器学习算法，发现给定数据集的k个簇的算法。 首先，随机确定k个初始点作为质心，然后将数据集中的每个点分配到一个簇中，为每个点找距其最近的质心， 将其分配给该质心对应的簇，更新每一个簇的质心，直到质心不在变化。 K-均值聚类算法一个优点是k是用户自定义的参数，用户并不知道是否好，与此同时，K-均值算法收敛但是聚类效果差， 由于算法收敛到了局部最小值，而非全局最小值。 K-均值聚类算法的一个变形是二分K-均值聚类算法，该算法首先将所有点作为一个簇，然
kmeans-al-math
- C# to achieve k means clustering algorithm, document clustering C# source code, k-means clustering algorithm 29-C# to achieve k means clustering algorithm, document clustering C# source code, k-means clustering algorithm 29111
kmeans
- 在数据挖掘课堂中 老师要实现的k均值算法 做一些简单的点的分类-In data mining classroom teacher to achieve k-means algorithm to do some simple points classification
Kmeans
- 该算法是实现Kmean聚类算法。包含初始聚类中心，聚类成员列表，最终聚类中心，最终聚类中心的距离，方差分析表，每个聚类中的案例数。-The algorithm is a clustering algorithm to achieve Kmean. Contains the initial cluster centers, cluster membership list, the final cluster centers the final cluster centers, ANOVA tab
kmeans-and-DBSCAN
- K_means and DBSCAN algorithm for clustering
kmeans
- K-means的聚类算法，比较有用的代码，希望对大家有用。-K-means clustering algorithm, more useful code, we hope to be useful.
新建文件夹
- K均值算法 简单的模式识别的算法 有详细的代码解释(Kmeans K mean algorithm simple pattern recognition algorithm has detailed code interpretation)
kMeans
- 用python实现k-means算法。随机生成二位可视化数据集 然后进行可视化聚类(The k-means algorithm is implemented with Python. Randomly generate two bit visual data set and visualize clustering.)