搜索资源列表
drums_separation
- This scr ipt illustrates the use of NMF for the extraction of the drums section in polyphonic music.
betaNTF
- Nonnegative Matrix and Tensor Factorization (NMF, NTF) with any beta-divergence
Speech-Enhancement-Using-HMM
- this thesis proposes two methods for NMF-based separation of sources with similar dictionaries.
NeNMF
- 非负矩阵分解的一种新方法——Nesterov法，这种方法提出不久，实现的结果很不错-NMF is a new method--Nesterov method, this method is presented shortly to achieve very good results
NMFLAB
- 非负矩阵分解在矩阵计算中具有重要意义，这是NMF非负矩阵分解实验室完整代码。-non-negtive resolution
NMFPSVM
- 本程序用于基因数据的分类，我自己写了一个基于欧氏距离的费舍尔判据，选取有代表性的基因，最后用NMF将矩阵分解，对得到的矩阵进行分类，分类用的是自带的svm算法-It is used for classfication, I wrote a fisher criterion based on Euclidean distance, selecting representative genes,after NMF,classification with the SVM algorithm is sh
NMF
- 非负矩阵分解，可以用于语音分离等，参考文献：N. Mohammadiha, P. Smaragdis and A. Leijon, “Supervised and Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization,” IEEE Trans. Audio, Speech, and Language Process., vol. 21, no. 10, pp. 2140–2151, oct. 2013
nmf
- 非负矩阵分解，将一个非负矩阵分解成两个非负矩阵的乘积-non-negative matrix factorization
NMF
- 基于非负矩阵分解理论，实现多源的图像融合-Based on non-negative matrix decomposition theory, to achieve image fusion of multi-source
nmf_nature
- 非负矩阵分解NMF，发表在自然杂志上的的完整实现代码-Non-negative matrix factorization ，complete code
Demo_lraNMF
- 我现在主要研究的是非负矩阵在特征提取方面的工作，上传几个我阅读的外国文献的，书籍源代码，在代码中有相应的文献或综述。我就上传一个low rank NMF的。压缩包里有9个文件。-I now mainly studied non-negative matrix feature extraction work, and upload a few I read foreign literature, books source code, there is a corresponding review
orldata-and-ONMF
- 正交非负矩阵分解，适合做非负矩阵分解的用，能得到更稀疏和更正交的基特征-Orthogonal nonnegative matrix factorization，Suitable for use NMF, can be more sparse and correct post basis vectors
IOTFS
- 一个新的数学和算法框架的无监督图像分割。描述了一个灵活的分割框架，利用现有的工作，非负矩阵分解和图像去卷积。合成纹理的马赛克和真正的组织学图像。-Unsupervised image of a new mathematical and algorithmic framework segmentation. It describes a flexible framework segmentation, use of the existing work, NMF and image deconvol
nmf
- these are cumulative sum.
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.
paa-master
- 概率原型分析软件，语言matlab，属于数据分析软件，非监督学习方法，类似于PCA,NMF等-Archetypal analysis represents a set of observations as convex combinations of pure patterns, or archetypes. The original geometric formulation of finding archetypes by approximating the convex hull of
nmfsc
- 基于梯度下降的稀疏约束 NMF 算法(NMFsc)，之前pudn上也有类似的，但缺少一个程序，这里面都包括了 -Based on gradient descent sparse constraint NMF algorithm (NMFsc), before the pudn has a similar, but the lack of a program, there are included
LWSG_NMF
- 该程序是LWSG_NMF方法（局部加权稀疏图正则非负矩阵分解）的matlab实现，可根据所需参数，进行设置-The program is LWSG_NMF method (locally weighted sparse graph regular NMF) matlab implementation, according to the required parameters, set
Lin_nmf
- 非负矩阵分解的matlab代码及相关文章，个人感觉很有用，可以参考一下-matlab code and paper of nmf