搜索资源列表
K-Means
- 本人上传的源代码用于实现数据挖掘领域中中的分内算法，K-means算法，算法的分割结果比较准确，是你的绝佳选择-I upload source code for implementing data mining in the field since the beginning of the algorithm, the segmentation result K-means algorithm, the algorithm is more accurate, you are a great ch
k-means--color-segment
- matlab k-means 彩色图像分割 不是很完美，有待提高-matlab k-means color segment，is not very perfect，needing you to improve
k-means.py
- k－means算法的python直接通过word2vec生成的向量空间数据放入，可直接获得所需要的聚类结果。可以自己设定输出的类别数目。-K-means algorithm directly into the vector space data generated by word2vec, you can directly obtain the desired clustering results. You can set the number of output categories.
K-means--C
- 运用k_means 聚类算法 对图像进行分类识别 c语言代码-Using k means clustering algorithm for image classification to identify c language code
K-means
- MATLAB编写的一种模式识别里的重要的模糊聚类方法K-means算法的matlab程序-MATLAB prepare a Pattern Recognition s important Fuzzy clustering methods K-means algorithm Matlab procedures.
K-means
- K-means算法是硬聚类算法，是典型的基于原型的目标函数聚类方法的代表，它是数据点到原型的某种距离作为优化的目标函数，利用函数求极值的方法得到迭代运算的调整规则。-K-means clustering algorithm is hard, is a typical prototype-based clustering method objective function representative, which is a method of data points to a certain d
k-means--segmentation
- 该代码实现了k-means聚类算法对图像的分类处理，同时通过RMSE和准确性对比对技术的表现和准确度进行了测试-The code implements the k-means clustering algorithm to classify the image. At the same time, the performance and accuracy of the technique are tested by RMSE and accuracy comparison.
Incremental-K-means
- 实现Incremental K-Means-Achieve Incremental K-Means
K-means
- k-means简单实现，实现了k近邻的实现，以图像的形式显示出来，简单实用-k-means simple to achieve achieve a k neighbors realized and presented in the form of an image, simple and practical
K-Means
- K-means聚类算法以及代码实现 K-means聚类算法以及代码实现-K-means clustering algorithm and code implementation K-means clustering algorithm and code implementation
k-means-clustering
- 关于k-均值聚类分析的R语言的代码及其应用-k-means clustering
k-means
- image segmentation k-means algorithm matlab
k-means
- 利用概率论知识进行聚类中心的选择，结果具有可解释性，效果非常好。-improve k-means
K-Means-Dynamic-clustering
- K-means 动态聚类算法（Dynamic clustering algorithm）源程序-Dynamic clustering algorithm of K-means
fuzzy-K-means
- fuzzy-K-means聚类算法源代码，常用于模糊聚类分析，算法能取得较好性能，简单有效,应用范围广-the fuzzy-K-means cluster program which can achieve good performance
K-means
- K-means聚类算法的matlab代码。-MATLAB code for k-means clustering algorithm.
All_Clu
- K-means，PSOKM，ACKM三种聚类算法，数据集适用于K-means，在PSO上效果不好，AC有改进(Including K-means, PSOKM, ACKM three clustering algorithms, the data set applies to K-means, clustering on PSOKM is not good, clustering in ACKM has improved.)
kmeans_demo1
- 基本的k-means matlab算法 demo(basical k-means matlab demo)
K-Means
- 对500个随机二维坐标点进行聚类，然后通过C++程序输出窗口输出。(Cluster Algorithm.Put the 500 2d points into 20 clusters.)
遗传k-means
- 数据挖掘经典算法,遗传算法与K_means算法结合(Data mining classic algorithm)