Emotion Recognition using ML methods on the SEED dataset
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Updated
Aug 6, 2019 - Jupyter Notebook
Emotion Recognition using ML methods on the SEED dataset
PCA(Principle Component Analysis) For Seed Dataset in Machine Learning
Convolutional Channel Modulator for Transformer and LSTM Networks in EEG-based Emotion Recognition
LDA(Linear Discriminant Analysis) for Seed Dataset
This repo is the result of a project assignment for a machine learning course at my university which was assisted by other group members. This project is to create a website that can cluster from the models that have been made. This model was created using the KMeans algorithm with 3 clusters that were trained with the seed dataset
Kmeans and Hierarchical clustering for Seed-dataset in Machine Learning
GraphCNN + CNN Network for EEG Emotion Recognition
Engineering Practice and Scientific and Technological Innovation Homework IV
Detecting Concept Shifts under Different Levels of Self-awareness on Emotion Labeling
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