Projected clustering has become a hot research topic due to its ability to cluster high-dimensional data. However, most existing projected clustering algorithms depend on some cri...
This paper describes a case study that uses clustering to group classes of an existing objectoriented system of significant size into subsystems. The clustering process is based o...
We propose a novel news browsing system that can cluster photo news articles based on both textual features of articles and image features of news photos for a personal news databa...
– The visualization of support vector machines in realistic settings is a difficult problem due to the high dimensionality of the typical datasets involved. However, such visuali...
The proliferation of content-based image retrieval techniques has highlighted the need to understand the relationship between image clustering based on low-Ievel imagefeatures and...