implement K means clustering and Gaussian Mixture Model Clustering.

exhaust all possibilities of two levels and three levels for facial expression recognition. the results show that the three levels strategy outperforms two levels and is more robust when more target features are classified in lower levels.

naive Bayes Classifer for movie reviews classification. multiple classifier for handwritten digits recognition.

update the midterm report of final project.

analyze the distribution of mean values of AUs for each emotion.

summarize the data of CK+ and store the AUs and emotions in CKPlus_AUEmotion_DataSet.csv

using SVM and K-means to filter spam emails in R.

upload two projects about machine learning