PCA and K-means clustering applied to Raman and PL imaging reveal structural defects in silicon wafers, enhancing understanding of optoelectronic performance.

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

XRP $2 support has structural backing this time: 1.35B tokens moved into ETF custody, whales accumulated 340M XRP, and exchange balances dropped 45%—creating supply squeeze that repeatedly defended $2 ...

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 ...

Finding a YouTube video that truly matches our interests can sometimes be a challenge. The video-sharing platform appears to have recognized this issue and is taking steps to address it with its new ...

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 ...

dt4dds-benchmark is a Python package providing a comprehensive benchmarking suite for codecs and clustering algorithms in the field of DNA data storage. It provides customizable, Python-based wrappers ...

Many modern clustering methods scale well to a large number of data items, N, but not to a large number of clusters, K. This paper introduces PERCH, a new non-greedy algorithm for online hierarchical ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Clustering techniques are consolidated as a powerful strategy for analyzing the ...

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, ...