搜索资源列表
IsoDataaK-means
- 是用VS6.0编写的程序。实现了模式识别中的ISODATA算法和K均值算法。内附有测试数据。-made by VS6.0 C++ Isodata K-means
kmeans-image-segmentation
- K-means算法是一种动态聚类方法，这种方法先选择若干样本作为聚类的中心，在按某种聚类准则（通常采用最小距离原则）使各种样本向各个中心积聚，从而得到初始的分类，然后，判断分类的合理性，如果不合理，就修改分类，如此反复的修改聚类的迭代运算，直到合理为止。-K-means algorithm is a dynamic clustering method, this method, select the number of samples as a cluster center in the clu
kmean
- 包括K-均值聚类算法的思想介绍，kmeans的MATLAB代码，c语言代码、c++代码。-Including the K-means clustering algorithm introduced the idea, kmeans of MATLAB code, c language code, c++ code.-Entropy Based Subspace Clustering for Mining Data- ENCLUS- a new version of PROCLUS algorit
Kmeans
- k均值聚类算法代码 用于模式识别等学科的编程应用-k-means clustering algorithm code for pattern recognition applications such as programming disciplines
kind
- candy边缘检测，彩色图像的边缘检测，K均值聚类，sobel边缘检测（C）其他是matlab程序-candy edge detection, color image edge detection, K-means clustering, sobel edge detection (C) the other is a matlab program
k-means
- opencv k-meas 聚类分割，将图片分为2部分，主要针对道路特征-opencv ， cluster
K-Mean
- 实现对图像的K均值法非监督分类,并能自动进行类别提取-the K-means Classification method for images
Fuzzy-c-means-clustering-algorithm-
- k均值算法是模式识别的聚分类问题，采用模糊C均值对数据集data聚为cluster_n类 -k-means algorithm is a pattern recognition poly classification,by using Fuzzy C-Means data sets, data gathered cluster_n class
k-matlab
- k均值的现代模式识别的作业，包括实验报告，对学习这门课的同学很有用-k-means modern pattern recognition operations, including the lab report, students learning this course useful
k-mean-sift
- K均值分割 在图像角点提取中使用 使用VC++进行的编程-K-means segmentation the image corner extraction using VC++ carried programming
K-means
- 基于K-eans聚类算法的图像分割方法，对学习理解K-eans聚类能提供很大的帮助。-Image segmentation method based on K-eans clustering algorithm,which provides a great help in learning to understand the K-eans cluster.
K-maens
- K均值聚类算法对图像进行分割，实验用程序，亲测可用。-K-means clustering algorithm for image segmentation, experimental procedures, pro-test is available.
k-meansPBOF
- 一个用BOF程序，用k-means聚类，然后生成词袋。-A BOF program, K-means clustering, and then generate the bag of words.
k-mean
- 一个很好的K均值的图像分割程序，很适合初学者用，可以很好的学习一下- The initial k-means algorithm for image segmentation, it is suitable for beginners
K
- K均值聚类在Matlab中的代码实现，是图像分割和图像识别中常用处理操作-K-means clustering code in Matlab realize image segmentation and image recognition is commonly used in processing operations
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-MeansPP
- K均值算法的实现，其中实现随机获取聚类中心-Realizing the K-means algorithm, which realize stochastic get clustering center
k-means_segmention
- 基于K均值聚类的彩色图像分割算法，最简单的聚类算法，可以看一下-K-means clustering segmentation algorithm based on the color image, the most simple clustering algorithm, can look
k
- 主要是K-Means算法的实现，可以直接执行，其中图片的载入用到opencv，其他均为C++源码。-Mainly K- Means algorithm implementation, which can be d directly, the images load use opencv, other are c++ source code.
K
- K-MEANS聚类分析，用于实现目标识别效果~识别率较高~-K-MEAN Clustering analysis, used to achieve the target recognition effect ~ recognition rate is higher