搜索资源列表
SAR
- 基于极化熵，极化散射角，以及反熵的whishart聚类，还提供了freeman分解的代码-Based on the polarization entropy, polarization scattering angle, as well as anti-entropy whishart clustering, it also provides a freeman decomposition code
KMEANS
- 对二维数组的最基础的K-means聚类算法的c++实现-Two-dimensional array of the most basic K-means clustering algorithm c++ to achieve
QPSOFCM
- QPSO（具有量子性质的PSO算法）算法优化聚类问题，其相关代码-QPSO (quantum nature of the PSO algorithm) to optimize the clustering problem, its associated code
LBG
- Linde, Buzo, and Gray (LBG) proposed a VQ design algorithm based on a training sequence. The use of a training sequence bypasses the need for multi-dimensional integration. The LBG algorithm is of iterative type and in each iteration a large set of v
text-data-mining
- 此程序实现了如何在TXT或WORD文档中进行数据挖掘,在文本中提取有用信息-The realization of this procedure how to TXT or WORD document to carry out data mining, in the text to extract useful information
K_average
- 模式识别的经典算法之一，动态聚类的k均值算法，不同于普通的聚敛算法。-One of the classic pattern recognition algorithms, dynamic clustering of the k-means algorithm, the convergence algorithm is different from the ordinary.
K-means
- 简单实用的k均值聚类算法，可以实现多位向量的简单聚类-Simple and practical k-means clustering algorithm, can achieve more than a simple vector clustering
ppt
- 使用禁忌算法确定聚类簇数目的ppt，该论文改进了聚类算法需事先知道聚类簇中心点的缺点，减少了依赖性-The use of taboo clustering algorithm to determine the number of clusters ppt, the paper has improved clustering algorithm need to know in advance that the shortcomings of clustering cluster center, a
clusterprogam
- 这是一个聚类的实现程序，在VC6.0中已通过。-This is a realization of clustering procedures that have been approved in VC6.0.
3333333
- C均值算法的实现，他是聚类的常见的应用，适合于学习模糊数学的人学习，在VC6.0中运行并通过。-C-means algorithm, he is the common clustering applications, suitable for fuzzy mathematics learning to learn, in VC6.0 run and do pass.
colorSignature
- 用openCV提取图片的象素值，用聚类进行分割，找出各个聚类的中心点，聚类个数是动态决定的，可重新设置个数最大上限。-OpenCV extract images using pixel value segmentation by clustering to identify the center of each cluster, clustering is a dynamic number of decisions can be re-set the upper limit of the num
FCM
- vc++环境下，实现基于FCM的模糊聚类算法。-vc++ environment, FCM-based fuzzy clustering algorithm.
K-Means
- 用于图像处理，K-MEANS聚类实现图像的分割和识别，是一种重要的图像处理方法-For image processing, K-MEANS Clustering achieve image segmentation and recognition, is an important image processing method
jswhisse2006
- algorithms of dataminig process for clustering data
jswhisse2006
- siginfiant feature clustering file segmentation data
cjunzi
- c均值聚类的c++源程序，可以进行向量的分类计算。-c-means clustering of the c++ source code, the classification of vector can be calculated.
SimpleKMeans
- k-means聚类算法 指定类别数为K，对样本集合进行聚类，聚类的结果由K 个聚类中心来表达，基于给定的聚类目标函数(或者说是聚类效果判别准则)，算法采用迭代更新的方法，每一次迭代过程都是向目标函数值减小的方向进行，最终的聚类结果使目标函数值取得极小值，达到较优的聚类效果。-k-means clustering algorithm for specific classes of K, the collection of samples for clustering, clustering t
three-color
- 无线传感网分簇算法四色算法在OMNET上的仿真，希望对大家有所帮助-Wireless sensor network clustering algorithm for four-color algorithm in the simulation OMNET, I hope all of you to help
dbscannew
- using dbscan to clustering in matlab
fum
- 标准化后进行PCA特征提取，然后聚类分类-After standardized PCA feature extraction, clustering and classification