资源列表
storm01
- storm storm storm storm storm storm -storm teststorm storm storm storm storm storm storm storm storm storm storm storm storm storm
lecture_hmm
- Hope this make your day better
MATLAB_LDA
- ＭＡＴＬＡＢ实现的ＬＤＡ算法,能够实现高维数据降维-realization of LDA algorithm in MATLAB，High- dimensional data dimension reduction can be achieved
all
- 用于cdn的多源多汇路径优化dijstra-Multi-source path for multiple sinks cdn Optimization dijstra
PGD
- 最优化方法之近端梯度下降法，适用于L1正则项的最优化。-Proximal gradient descent
2_simplifyweibo
- 20万情感语料 已经分词了 20万情感语料 已经分词了-200 thousand, the emotional corpus has been participle
k-means1
- Python version of k-means for data clustering
KPCA算法
- 对高维数据进行特征两提取,提高数据分类速度,可用于故障诊断数据的特征量提取.
LPP算法
- 对高维数据进行特征两提取,提高数据分类速度,可用于故障诊断数据的特征量提取.
riemannian sparse coding
- matrix information on riemannian sparse coding
CAN_ACM SIGKDD_2014
- Nie F, Wang X, Huang H. Clustering and projected clustering with adaptive neighbors[C]//Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining. 2014: 977-986.
在线PCA
- 实现在线PCA模型的在线更新，从而使得模型的鲁棒性更强