Abstract: Multi-view clustering aims to partition multi-view data into different categories by optimally exploring the consistency and complementary information from multiple sources. However, most ...

China's largest scientific artificial intelligence (AI) computing cluster went live on Tuesday at the National Supercomputing Internet's core node in Zhengzhou, Central China's Henan Province, China ...

Elon Musk's social network X (formerly known as Twitter) last night released some of the code and architecture of its overhauled social recommendation algorithm under a permissive, enterprise-friendly ...

Abstract: We present a novel clustering algorithm for tagging a face dataset (e. g., a personal photo album). The core of the algorithm is a new dissimilarity, called Rank-Order distance, which ...

Correspondence to Dr Rachel Knevel, Department of Rheumatology, Leiden University Medical Center, Leiden 2333 ZA, The Netherlands; r.knevel{at}lumc.nl Pinal-Fernandez and Mammen suggest that the ...

Fiber Bragg sensor (FBG) was widely used in national defense, railway, chemical industry, environment, nuclear power, bridge and tunnel monitoring and other fields due to its characteristics of low ...

Rank Order Clustering Algorithm (ROCA) is an algorithm used in cellular manufacturing to group parts based on their similarity. It is a type of clustering algorithm that can be used to group parts ...

Over the years, search engines like Google have utilized semantic analysis to more deeply understand human language and provide users with more relevant search results. For this reason, a ...

# A function to create a random data matrix # Reference: http://dirk.eddelbuettel.com/blog/2012/09/02/#faster_binomial_matrix_creation createData = function(N, K ...

In order to discover new subsets (clusters) of a data set, researchers often use algorithms that perform unsupervised clustering, namely, the algorithmic separation of a dataset into some number of ...