搜索资源列表
彩色分割后8连通处理
- 彩色分割后8连通处理,给出了彩色图像的一种聚类算法-after eight color segmentation connectivity, a color image is a clustering algorithm
dsdsdsd
- 是关于图像聚类与检索的简单实现的一个算法-image of the cluster and retrieval of a simple algorithm to achieve
fcm123
- 一个适合与做二维图像的聚类算法 我是做图像的 大家加我qq：31781508-suitable for a 2-dimensional image and the clustering algorithm I have to do all the images for my qq : 31781508
kMeans
- k-mean image clustering source code developed using java
Kmeans_process
- 该程序用了Kmeans算法，对图像进行处理，用的是MFC的框架，也很易于操作，可以进行任意聚类。-The program used Kmeans algorithm, image processing, using the MFC framework, is also very easy to operate, can be arbitrary cluster.
Cluster
- 实现了随机点生成、C均值聚类、ISODATA聚类算法，简单易懂-Random point generation C-means clustering, ISODATA clustering algorithm, straightforward
01
- 应用蚁群优化算法解决聚类问题，效果不错-Application of ant colony optimization algorithm to solve clustering problem, effect is good!
Kmeans_and_improvedkmeans_and_papers
- Kmeans聚类算法以及改进的Kmeans聚类算法，包含收集的很多论文-Kmeans clustering algorithm and Kmeans clustering algorithm and improved, including a lot of paper collection
k_means
- K-mean 算法是 J.B.MacQueen 在 1967 年提出的，是到目前为止应用最广泛最成熟的一种聚类分析方法。因该算法具有简单快速、适于处理大数据集等优点，目前，已被广泛应用于科学研究和工业应用中。-K-mean algorithm is JBMacQueen proposed in 1967, is by far the most mature and most widely used of a clustering analysis. Because the algorithm i
oriFCMimg
- 模糊C均值聚类的图像分割算法，基于标准的模糊C均值聚类的图像分割算法，可以手动调整要分类的类别，最后输入分类好的图像-Image segmentation method based on standard fuzzy C mean clustering
SFCM2D
- 这个是基于局部空间信息的模糊聚类的算法，用于图像聚类，希望对大家有点帮助-This is based on fuzzy clustering algorithm partial spatial information for image clustering, hope to help a bit
k-value-and-cells-counting
- K均值聚类、分水岭算法,可以用来白细胞红细胞计数-K-means clustering, watershed algorithm, can be used for white blood cell red blood cell count
EM
- 用kmeans初始化em算法，并用高斯回归进行拟合，用于图想的聚类-Kmeans initialization using EM algorithm, and the use of Gauss regression fitting, used to map the clusterin
kmeans
- 聚类算法Kmeans的Matlab源代码
快速K-均值(kmeans)聚类图像分割算法源代码
- 本算法Kmeans可以用于非监督分类学习，用于图像处理、模式识别分类(The algorithm Kmeans can be used for unsupervised classification learning, for image processing, pattern recognition and classification.)