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B10681002fj
- 低秩谱聚类分析包括2015年研究生数学建模B题的论文及相关程序,做的不好,但可供参考。开发平台是matlab-Low rank spectral clustering analysis includes the papers and related procedures of the research on the mathematical modeling of B in 2015. Development platform is matlab
pujulei
- 谱聚类算法建立在谱图理论基础上,与传统的聚类算法相比,它具有能在任意形状的样本空间上聚类且收敛于全局最优解的优点。 该算法首先根据给定的样本数据集定义一个描述成对数据点相似度的亲合矩阵,并且计算矩阵的特征值和特征向量 , 然后选择合适 的特征向量聚类不同的数据点。谱聚类算法最初用于计算机视觉 、VLS I 设计等领域, 最近才开始用于机器学习中,并迅速成为国际上机器学习领域的研究热点。-Spectral clustering algorithm based on the spectrum b
spectral
- 用matlab实现的谱聚类算法,简单实用,已测试通过-Using spectral clustering algorithm matlab realized, simple and practical, have been tested
question-three
- 用改进的谱聚类算法一个标准人脸库进行了分类,效果很好-20 photos of 3 persons are classified correctly using modified spectral-clustering which may be useful to you
threecircle
- 人工生成三个同心圆数据,分别用传统谱聚类算法和NJW算法进行分类,都得到很好的效果-Three concentric circles artificially generated data, respectively, with the traditional spectral clustering and classification algorithms NJW, have been very good results
Clustering
- 对数据进行归类,采用了k-means,NMF以及谱聚类三种方法。其中, 谱聚类的效率比较低下。-Classify the data, using the k-means, NMF and spectral clustering three methods. Among them, the relatively low efficiency of spectral clustering.
code
- 完成三个聚类算法:k-means,非负矩阵分解,谱聚类-Please implement three clustering algorithms: k-means, clustering by non-negative matrix factorization (NMF), and spectral clustering.
MATLAB-program
- 实现对信号特征的提取,能够实现对数据谱的峰值特征的提取。-To achieve the extraction of signal characteristics, enabling the extraction of data spectral peak features.