Mr. Zaid Salah Abdel Sattar, the teaching assistant at the College of Education for Pure Sciences at the University of Karbala, obtained a master’s degree in computer and communications engineering for his thesis entitled (Spectral clustering algorithm for detecting the COVID-19 virus using various samples from a public COVID-19 dataset). The thesis aimed to study the effectiveness of the Spectral Clustering algorithm in detecting COVID-19 cases using different samples from a public data set. Comparison of algorithm performance in identifying pneumonia cases and normal cases compared to COVID-19 cases. Analyze the results to provide a precise understanding of the effectiveness of the algorithm in the context of disease detection. The letter recommended using a public dataset containing samples of COVID-19, pneumonia, and normal cases. Divide the data into a training and test set to train and test the model. In addition to applying Spectral Clustering as a technique for data analysis and disease detection. The results are then analyzed using metrics such as accuracy and sensitivity. Exploring the possibility of improving the algorithm and integrating other techniques to improve performance. Encouraging more research on the applications of Spectral Clustering in the field of disease detection.
