资源列表
sPl1Pl21
- 论文 Least Squares Loss for Multi-class (task) Learning via the sparse group Lasso penalty 的算法源代码，是sparse+l1+lq,1的稀疏属性选择算法。- Least Squares Loss for Multi-class (task) Learning via the sparse group Lasso penalty Problem
My_Kmeans
- java写的k-means，随机选择聚类中心-the realizationg of K-means clustering algotithm based on Java,with random selection of clustering centers
pca_exercise
- 这是一份介绍PCA在图像处理里面的例子，里面代码都有详细介绍，很有价值-This is a descr iption of the image processing inside PCA example, which codes are detailed, great value
PCA-AND-PNN
- 应用主成分分析对数据降维，将得到的数据用于概率神经网络训练，进行模式识别。对于一组新数据，先计算主成分得分，再输入训练好的概率神经网络，就会得到识别结果，即改组数据属于何种类别。-Principal component analysis of the data reduction, data will be obtained for the probabilistic neural network training, pattern recognition. For a new set of d
LSASummarization-a-paper
- lsasummarization 用 lsa 来干文摘的工作。 配套论文-lsasummarization leverages lsa language model in the task of text summarization
xin-k-means
- 此程序中直接是关于具体数据的聚类划分，直接给出相应的数据。-This program is directly of clustering on specific data directly gives the corresponding data
recsys-challenge2015
- 本代码实现了 recsys challenge2015数据集分析的算法，对数据挖掘和推荐系统的学习很有帮助~！-This code implements recommend algorithm based on recsys challenge2015 data set , which definitly would helpful for studying Data mining and Recommendation system !just enjoy
The-optimization-of-K-means
- 对k-means算法的优化，通过优化初始聚类中心的选择-The optimization of K-means algorithm by improving the selection of initial clustering centers
gSpan6.tar
- 频繁子图挖掘算法，非常经典，值得学习一下。-subgraph mining
Bayesian-networks-for-Data-Mining
- 贝叶斯网络的介绍及其在数据挖掘和模式识别中的应用-Introduction Bayesian network and its application in data mining and pattern recognition
KMeans
- 数据聚类算法 kmeans 算法 ,使用MATLAB实现，文中的代码注释为中文，更易于实现-data mining algorithm , clustering algorithm , k_means algorithm
kmeansPP
- kmeans 算法的改进算法 名字为kmeans++算法，参考的文献为 kmeans++： an efficient algorithm。。。。算法他人所写，这里上传，以方便同行传阅-this is a algorithm named k_means++. reference the paper : an efficient algorithm ...