View Proposal

---

Proposer

Dongdong Chen

Title

Computer Vision and Machine Learning Topics - Advanced AI models for Data Clustering

Goal

Description

Clustering is the task of grouping unlabeled data points together based on their similarities. It is an unsupervised machine learning task, meaning that the data points do not have any labels associated with them. In contrast, classification is the task of assigning labels to data points. If the data points are labelled, then clustering can be used as a preprocessing step to improve the performance of classification algorithms. Deep learning (Neural Networks) can learn useful representations from data. This project will focus on implementing and extending the state-of-the-art deep learning models for clustering analysis.

Resources

Background

knowledge of Python; basic of neural networks and deep learning

Url

Difficulty Level

Moderate

Ethical Approval

None

Number Of Students

1

Supervisor

Dongdong Chen

Keywords

deep learning, machine learning, clustering analysis, computer vision, visualization

Degrees

Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Bachelor of Science in Information Systems
Master of Engineering in Software Engineering
Master of Science in Artificial Intelligence
Master of Science in Artificial Intelligence with SMI
Master of Science in Computing (2 Years)
Master of Science in Data Science
Master of Science in Robotics
Master of Science in Software Engineering
Bachelor of Science in Computing Science
Bachelor of Engineering in Robotics