Godfrey Lim

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In past decades, pattern classification has been intensively explored in machine learning. With the in-depth exploration of machine learning in various applications, new challenges arise, which requests researchers to move from data-driven to domain-driven models by integrating domain knowledge, and to move from static to dynamic models to adapt to the(More)
Real-world datasets usually involve class overlap. It has been observed that, in general, the performance of clustering algorithms degrade with the increasing overlapping degree. The main challenge for clustering overlapping data is the determination of the appropriate number of clusters and division of the overlapping region. This paper proposes a novel(More)
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