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Ye Zhu

Ye Zhu is a PhD research fellow at Deakin University. His area of expertise is complex system data analytics. His research works focus on the fields of data mining and machine learning. Particular topics include clustering analysis, anomaly detection, similarity learning and their applications for pattern recognition and information retrieval. He has been published in top-tier conferences and journals, including SIGKDD, PAKDD, Pattern Recognition Journal and Machine Learning Journal.

Clustering By Shared Subspaces: A New Framework For Data Analysis

Clustering is a fundamental data analysis technique with applications in engineering, medical and biological sciences, social sciences, and economics. For example, clustering could be used to analyze a biological tissue dataset from cancer patients such that certain important cells types […]