搜索资源列表
pca-test
- PCA简单实现，自己引用数据，能出两个基本指标图-PCA simple implementation code, their own reference data, to a data map, Q statistics and T2 statistic diagram
nlp
- 基于贝叶斯网络的网络评论情感分类，Java实现，内附评论数据包-Based on Bayesian Network Web reviews sentiment classification, Java implementation, the packet included a review
recommender-
- Collaborative Filtering，基于Collaborative Filtering，建立主动为用户推荐商品的推荐系统。实现参考协同过滤算法或它的优化，实现并改进算法，计算出每个客户对未购买的商品的兴趣度，并向客户主动推荐他最感兴趣的N个商品。实验数据可以从MovieLens.com下载。要求使用至少10，000不同用户的数据，至少1000个不同的movie。-Collaborative Filtering，Based Collaborative Filtering, the in
kmeans1
- 实现对图片进行k均值聚类，也可以修改初始值，修改图片名直接可以运行-Implementation to k-means clustering of images, can also modify the initial value, the images can be run directly
KNNDemo
- KNN算法Java语言实现，控制台运行界面。分类训练样本集和测试样本都有。-Java KNN language implementation, the console running interface. Classified training samples and test samples are.
era
- 基于时域的模态参数识别算法，特征系统实现法。-Modal parameter identification algorithm based on time domain, the characteristics of the system implementation method.
k-means-Clustering
- simple k-means implementation with Persian comments
knn
- KNN分类器的MATLAB代码，速度快效果好，适合初学者使用。-KNN search without using any gancy data structure, such as kd-tree. However, it is the fastest knn matlab implementation I ever found.
Lmethod
- L-method in R statistical language. Implementation of the L-method algorithm for finding the best number of clusters in hierarchical clustering. Algorithm is described here: Salvador, S. and Chan, P., 2004. Determining the number of clusters/seg
DBSCAN
- DBSCAN算法的C++实现，方便大家对DBSCAN算法的理解和实现-Realization of DBSCAN C++ to facilitate understanding and implementation of algorithms for DBSCAN
k
- k mean algorithm implementation using random cluster centroid
kmeans
- kmeans算法，简单实现，文件读入，读入文件为txt，数据用逗号隔开-kmeans algorithm, simple implementation, file reads, reads the file as txt, data separated by commas
SSL_MP
- SSL with Measure Propagation: Implementation of Measure Propagation Algorithm introduced in, Subramanya, Amarnag, and Jeff Bilmes. Semi-supervised learning with measure propagation. The Journal of Machine Learning Research 12 (2011): 3311-3370.-SSL w
SSL_PGP
- SSL(Semi-Supervised Learning) with PGP: Implementation of PGP Algorithm introduced in, Fang, Yuan, Kevin Chen-Chuan Chang, and Hady Wirawan Lauw. Graph-based semi-supervised learning: Realizing pointwise smoothness probabilistically. International Co
SSL_LP
- SSL(Semi-Supervised Learning) with GRF: Implementation of Label Propagation Algorithm introduced in, Zhu, Xiaojin, Zoubin Ghahramani, and John Lafferty. Semi-supervised learning using gaussian fields and harmonic functions. ICML. Vol. 3. 2003. (Origi
Knn-and-PCA.tar
- good implementation of KNN and PCA for face dataset
Bias_algorithm_java
- 贝叶斯算法java实现,在贝叶斯算法思想基础上做改进，提供文本分类效率-Bias algorithm java implementation, based on the idea of Bias algorithm to improve the efficiency of text classification
GMMPEM
- 代码给出了高斯分布下的EM算法的设计与实现-Code gives the design and implementation of a Gaussian distribution under the EM algorithm
FP-Growth
- fp-growth算法的c++实现，比较简单，但不能生成关联规则。-fp-growth algorithm c++ implementation, relatively simple, but can not generate association rules.
Code-SVM-implementation
- R Code for SVM implementation