Abstract: Image clustering is an essential analysis tool in machine learning and computer vision and can benefit many applications including content-based image annotation and image retrieval.

We develop a computer-assisted method for the discovery of insightful conceptualizations, in the form of clusterings (i.e., partitions) of input objects. Each of the numerous fully automated methods ...

fuzzy-threshold: the difference between the normalized top 2 probability ; if not exceeds, then the vertice belongs to the fuzzy part stop_dis_ratio: the max distance between the representatives ...

In image segmentation using clustering, we use clustering algorithms like K-means to divide an image into meaningful segments. Each segment corresponds to a group of pixels that share similar ...

Apple Computer set its sights even more squarely on supercomputing and distributed grid computing this week with the preview and beta release of its Xgrid technology designed for scientists and their ...

Businesses just had to deal with it. Today, however, the 24-hour economy and the Internet have changed the expectations users have of their systems. Now, downtime could spell a business' death. Two ...