sunnyue123

sunnyue123's Stars

• Ritam-Guha/HSGFS

  This repo contains the codes for Hybrid Swarm and Gravitation based Feature Selection algorithm

  Language:MATLAB11

• viharoszsolt/AHFS

  Adaptive Hybrid Feature Selection (AHFS)

  Language:MATLAB51

• Akshaybhardwajgit/Feature-Selection-Using-HYBRIDISED-Whale-Optimization-Technique

  Language:MATLAB42

• ferhatlageyik/ferhatlageyik-KNN-Classification-in-Hyperspectral-Images

  Classification in Hyperspectral images using K-NN algorithm.

  Language:MATLAB11

• mavericksgeek/Multi-objective-GA-BandClassification

  Band selection and classification of hyperspectral images using Multi-objective Genetic Algorithms

  Language:MATLAB145

• fxd98/intelligent-optimization-algorithm

  Language:MATLAB182

• weiguang/FitnessLandscape

  FitnessLandscape and DE

  Language:Matlab41

• Ayushmaan-Pandey/Major-Project

  Improving Classification Accuracy Using Enhanced Salp Swarm Algorithm

  Language:MATLAB3

• wangxb96/SaWDE

  Code of the paper：A Self-adaptive Weighted Differential Evolution Approach for Large-scale Feature Selection --[Knowledge-Based Systems 22]

  Language:MATLAB335

• xueyunuist/Self-Adaptive-Particle-Swarm-Optimization-for-Large-Scale-Feature-Selection-in-Classification

  Evolutionary Feature Selection for Classification

  61

• xueyunuist/MOEA-ISa

  A multi-objective evolutionary algorithm with interval based initialization and self-adaptive crossover operator for large-scale feature selection in classification

  Language:MATLAB112

• JingweiToo/Whale-Optimization-Algorithm-for-Feature-Selection

  Application of Whale Optimization Algorithm (WOA) in the feature selection tasks.

  Language:MATLAB266

• dipankarsk/Feature-Selection-Hybrid

  Intrusion Detection is a technique to identify the abnormal behavior of system due to attack. The unusual behavior of the environment is then identified and steps are taken and methods are formed to classify and recognize attacks. Data set containing a number of records sometimes may decrease the classifiers performance due to redundancy of data. The other problems may include memory requirements and processing power so we need to either reduce the number of data or the number of records. Feature Selection techniques are used to reduce the vertical largeness of data set. This project makes a comparative study of Particle Swarm Optimization, Genetic Algorithm and a hybrid of the two where we see that PSO being simpler swarm algorithm works for feature selection problems but since it is problem dependent and more over its stochastic approach makes it less efficient in terms of error reduction compared to GA. In standard PSO, the non-oscillatory route can quickly cause a particle to stagnate and also it may prematurely converge on sub optimal solutions that are not even guaranteed to be local optimum. A further drawback is that stochastic approaches have problem-dependent performance. This dependency usually results from the parameter settings in each algorithm. The different parameter settings for a stochastic search algorithm result in high performance variances. In this project the modification strategies are proposed in PSO using GA. Experimental results show that GA performs better than PSO for the feature selection in terms of error reduction problems whereas hybrid outperforms both the model in terms of error reduction.

  Language:Matlab274

• tanmlh/Optimal-Neighboring-Reconstruction-for-Hyperspectral-Band-Selection

  Language:MATLAB206

• yanxum/aco_feature_selection_svm_classify

  Ant colony optimization (aco) algorithm is used to select the features of hyperspectral remote sensing image bands,And then use Support Vector Machines(svm) to classify pixels.

  Language:Python364

• kangzhai/HGWOP

  Hybrid Particle Swarm and Grey Wolf Optimizer

  Language:MATLAB206

• Ritam-Guha/Feature-Selection

  It contains some of the novel feature selection algorithms I've developed

  Language:MATLAB136

• liangnaiyao/multiview_learning

  350101

• ZJULearning/MatlabFunc

  Matlab codes for feature learning

  Language:Matlab569266

• DarrenZZhang/TNNLS18-MSRL

  Language:MATLAB3

• taohong08/Multiview-Classification-With-Cohesion-and-Diversity

  Language:MATLAB93

• fangyue6/MyOtherCode

  Language:Matlab95

• yutongliu96/Feature_Selection_Project

  Language:C++1

• yerongke/Hyperspectral-data-processing

  Spectral data processing, including preprocessing, feature extraction, sample division, modeling, optimization algorithm.

  Language:MATLAB8110

• Li-Huangqi/-

  在matlab App Designer中设计了一款航空发动机气路故障智能诊断软件，通过训练航空发动机气路数据，分别实现航空发动机故障判断、故障部件定位和故障模式识别。

  Language:MATLAB11

• TaiXiaoxiao/MutualGuide

  Language:C++32

• Jaza-Abdullah/FDO

  Fitness Dependent Optimizer - Matlab

  Language:MATLAB22

• HosseinJalali1996/WHO-Optimization-Algorithm

  Language:Jupyter Notebook2

• qasemabdullah/Hybrid-Binary-GWO-FS

  Al-Tashi, Q. et al(2019). Binary optimization using hybrid grey wolf optimization for feature selection. IEEE Access, 7, 39496-39508. Link for algorithm details: Paper https://ieeexplore.ieee.org/abstract/document/8672550

  Language:MATLAB158

• mzychlewicz/GWO

  Grey Wolf Optimizer Matlab

  Language:Matlab5521