Kai Zhang 1 / 3 RESEARCH STATEMENT

My research work is centered around clustering, the most basic form of unsupervised learning. It extends to several closely related areas including: probabilistic mixture models, manifold leaning and dimension reduction, low rank approximation, maximum margin clustering and semi-supervised learning. An important theme of my work is to scale up the currently existing, but computationally demanding algorithms to large scale, real world problems. This can benefit a variety of applications in data mining, computer vision and information retrieval.