IEEE

Density Peaks Clustering Algorithm Based on Neighborhood Radius and Membership Degree

Abstract: The density peaks clustering (DPC) algorithm is a density-based clustering method that effectively identifies clusters with uniform densities. However, if the datasets have uneven density, ...
IEEE

Parameter-Adaptive Border Peeling Clustering Algorithm

Abstract: Most clustering algorithms require setting one or more parameters, which rely on prior knowledge or are constantly adjusted based on external indicators. To address the issues of requiring ...
Wired

Your Data Might Determine How Much You Pay for Eggs

A newly enacted New York law requires retailers to say whether your data influences the price of basic goods like a dozen eggs or toilet paper, but not how. If you’re near Rochester, New York, the ...
NPR

New limits for rent algorithm that prosecutors say let landlords drive up prices

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 ...
SciELO

Structural damage detection utilizing probabilistic divergence of FFT coefficient ratios and DBSCAN cluster algorithm

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 ...
Scientific Research Publishing

On Prediction of Stock Return and Volatility Using Clustering Techniques: Taking an Example of Japanese Stock Market ()

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 ...
Frontiers

Density peak clustering algorithm based on weighted mutual K-nearest neighbors

1 School of Computer Science and Technology, Yibin University, Yibin, China 2 School of Computer and Software, Southwest Petroleum University, Chengdu, China Ever since Density Peak Clustering (DPC) ...
BGR

Squid Game's Unnecessary Final Season Is Another Example Of Algorithms Trumping Art

There's a familiar TV discourse taking shape online right now, the kind that I suspect will look awfully familiar to you if you remember the way Game of Thrones crashed and burned in its eighth and ...
National Review

Direct File Is a Prime Example of IRS Waste. President Trump Should Eliminate It

Will Trump’s FTC Rein In Lina Khan’s Abuses? U.N.’s Global Carbon Tax Should Be a Wake-Up Call to Fight International Climate Extremism Audio By Carbonatix One user even said it was 'weird, dystopian, ...
AOL

Direct vs. Indirect Costs: Key Differences and Examples

In financial accounting and taxes, attributing expenses to the correct category isn’t just a tip or guideline; it’s a requirement when filing IRS forms, requesting grant funds, or reporting to ...
Science Daily

Truly autonomous AI is on the horizon

Researchers have developed a new AI algorithm, called Torque Clustering, that significantly improves how AI systems independently learn and uncover patterns in data, without human guidance.