At least that’s the idea behind the Bit-Brick Cluster K1. Real-world performance will obviously vary depending on the task. But for applications that support parallel processing, this cluster board ...

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.

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 ...

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 ...

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 ...

Panasas Inc. announced this week that version 3.0 of its ActiveScale clustered storage software will include data protection features, such as snapshots, nondisruptive firmware upgrades and ...

A botnet is a network of computers on the Internet, each of which has been compromised and is under the influence of a coordinated group of malware instances. Bots on this network run without the ...