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Abstract: When spectral clustering analysis is applied, a similarity matrix of data plays a vital role in both clustering performance and stability of clustering results. In order to enhance the ...

Introduction Never before in human history has a small minority wielded this degree of control over the lives of the majority ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, has announced a groundbreaking achievement of great theoretical and engineering significance: its ...

Abstract: Recently, a new adaptive scheme [Conte (1995), Gini (1997)] has been introduced for covariance structure matrix estimation in the context of adaptive radar detection under non-Gaussian noise ...

Data structures and algorithm analysis in C++ by Weiss, Mark Allen Publication date 2006 Topics C (Computer program language), Data structures (Computer science), Computer algorithms Publisher Boston ...

Rezgar Akrawi sketch out the contours of a left-wing vision of digital liberation, addressing this struggle’s most important ...

Structured collection of Data Structures & Algorithms problems solved in Java, organized by topic with optimized solutions and time–space complexity analysis.

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

Using AI and Australia's supercomputing infrastructure, researchers mapped 94 million craters on Mars, transforming planetary ...

A new study combines Large Language Models and behavioral mathematics to analyze human decision-making text data at scale.