kr-prince / mRMRLinks
This is an App developed in Python to implement the algorithm for minimum redundancy maximum ralevance. The formulation was based on a research paper from Chris Ding and Hanchuan Peng (Minimum Redundancy Feature Selection from Microarray Gene Expression Data).
☆13Updated 7 years ago
Alternatives and similar repositories for mRMR
Users that are interested in mRMR are comparing it to the libraries listed below
Sorting:
- Feature selection problem is one of the most significant issues in data classification. The purpose of feature selection is selection of …☆10Updated 5 years ago
- Implementations of various feature selection methods☆24Updated 4 years ago
- An optimized clustering framework for 'Clustering by fast search and find of density peaks' in Science 2014.☆20Updated 3 years ago
- feature selections and extractions☆88Updated last year
- Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.☆109Updated 4 years ago
- This algorithm is based on the paper 'K-Means clustering algorithm Based on Adapative Feature Weighted'☆31Updated 6 years ago
- 项目基于论文《Fuzzy c-Means Algorithms for Very Large Data》,使用Python语言实现FCM算法及其扩展算法,包括FCM、spFCM、oFCM、kFCM、reskFCM、spkFCM、okFCM。☆66Updated 6 years ago
- 常用的特征选择方法☆68Updated 3 years ago
- Implementing sparse autoencoder for MNIST data classification using keras and tensorflow☆23Updated 7 years ago
- Theano implementation of Cost-Sensitive Deep Neural Networks☆26Updated 7 years ago
- 卷积神经网络提取特征并用于SVM//www.cnblogs.com/chuxiuhong/p/6132814.html☆15Updated 7 years ago
- AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.☆41Updated 5 years ago
- 使用遗传算法结合决策树做特征选择/Using genetic algorithm for feature selection with decision tree☆25Updated 7 years ago
- A disease gene prediction algorithm based on multimodel deep belief net☆16Updated 2 years ago
- [TFS 2020] Deep Fuzzy K-Means with Adaptive Loss and Entropy Regularization☆34Updated 3 years ago
- Optimizing k-means++ initialization using PSO☆18Updated 9 years ago
- A convolutional autoencoder for feature extraction, with an SVM for image classification.☆10Updated 6 years ago
- Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data☆29Updated 6 years ago
- This repo is about predicting survival time of a patient using different deep learning techniques. Basically many models were developed b…☆14Updated 5 years ago
- Simple SVM implemented with Recursive Feature Elimination☆12Updated 6 years ago
- MMGCN:Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease Association Prediction☆20Updated 4 years ago
- Hybrid PSO Clustering Algorithm with K-Means for Data Clustering☆51Updated 5 years ago
- A toolbox for predicting miRNA-disease associations☆11Updated 8 years ago
- 类别不平衡学习,包括采样、代价敏感学习、决策输出补偿以及集成学习等内容☆37Updated 4 years ago
- Multilayer recursive feature elimination based on embedded genetic algorithm for cancer classification☆15Updated 6 years ago
- Several state-of-the-art fuzzy clustering algorithms, including Fuzzy c-means clustering, fuzzy subspace clustering and maximum entropy c…☆33Updated 5 years ago
- Weighted LSSVM for regression☆37Updated 6 years ago
- Learning and Recording☆34Updated 6 years ago
- XGB、LSTM、KNNR、SVR预测☆13Updated 9 months ago
- Oversampling for imbalanced learning based on k-means and SMOTE☆128Updated 4 years ago