搜索资源列表
gmeans
- gmeans-- Clustering with first variation and splitting 文本聚类算法Gmeans ,使用了3种相似度函数,cosine,euclidean ,KL.文本数据使用的是稀疏矩阵形式. -gmeans clustering with first variation and splitting Gmeans,a text clustering algorithm, uses 3 functions,cosine,euclidean and
Fast_SC
- 非常快速的稀疏编码求解过程。可以用于各种类型的数据-fast solving the problem of sparse coding.You can apply sparse coding to any type of general data.
BUC
- 数据挖掘算法BUC，计算稀疏冰山立方体的 C++实现-Data mining algorithms BUC, computing sparse iceberg cube C++ realization
RVM_papers
- A Hierarchical Latent Variable Model for Data Visualization.pdf Bayesian Image Super-Resolution.pdf Bayesian Inference_An Introduction to Principles and Practice in Machine Learning.pdf Fast Marginal Likehood Maximisation for Sparse Bayesian Mo
SB_release1
- 稀疏贝叶斯数据分类源程序第一个版本，里面附有相应的m文件和例程，解决数据分类问题。-Sparse Bayesian data classification source program first version, which is accompanied by the corresponding M files and routines to solve the problem of data classification.
spams-matlab2.5
- 数据挖掘机器学习的在线字典学习稀疏矩阵分解源码-Data mining online dictionary learning sparse matrix factorization source