Abstract: Cluster analysis is a fundamental method for studying big data problems, as it groups samples based on shared features. In cluster analysis, a particular class of big data problems is ...

Abstract: Clustering is a significant technique in data mining, which can uncover the hidden correlation information and obtain deeper understanding of the inherent structure of data. However, when ...

As per the publication, the Poco M8 and M8 Pro are rebadged versions of the Redmi Note 15 and Note 15 Pro+. However, the Poco phones do offer minor changes in design and technical specifications. As ...

Landlords could no longer rely on rent-pricing software to quietly track each other's moves and push rents higher using confidential data, under a settlement between RealPage Inc. and federal ...

ABSTRACT: This work describes a data integration model using the Statistical Matching methodology (hot deck distance) to integrate two surveys conducted by ISTAT (EU-SILC) and the Bank of Italy ...

Stock returns exhibit nonlinear dynamics and volatility clustering. It is well known that we cannot forecast the movements of stock prices under the condition that market is efficient. In most ...

In structural health monitoring (SHM), uncertainties from environmental noise and modeling errors affect damage detection accuracy. This paper introduces a new concept: the Fast Fourier Transform ...

Algorithms, examples and tests for denoising, deblurring, zooming, dequantization and compressive imaging with total variation (TV) and second-order total generalized variation (TGV) regularization.

SoundCloud and Subtext have announced a new partnership that enables artists to build direct fan relationships and generate revenue through SMS messaging campaigns. The collaboration provides ...

As you delve into the intricacies of English grammar, you’ll encounter the concepts of direct and indirect statements. These fundamental elements of reported speech play a crucial role in conveying ...