Most existing methods of semi-supervised clustering introduce supervision from outside, e.g., manually label some data samples or introduce constrains into clustering results. Thi...
In this paper a fuzzy quantization dequantization criterion is used to propose an evaluation technique to determine the appropriate clustering algorithm suitable for a particular ...
Abstract. We have developed a new semi-automated method for segmenting images of biological cells seeded at low density on tissue culture substrates, which we use to improve the ge...
Joe Chalfoun, Alden Dima, Adele P. Peskin, John T....
There has been an information explosion in fields of science such as high energy physics, astronomy, environmental sciences and biology. There is a critical need for automated sys...
Srinath Shankar, Ameet Kini, David J. DeWitt, Jeff...
Smart disks, a type of processor-embedded active I/O devices, with their on-disk memory and network interface controller, can be viewed as processing elements with attached storage...