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

A cluster of human brain cells, integrated into a chip, learned to play the computer game _Doom_ in just a week, advancing ...

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 ...

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 ...

Abstract: Hierarchical clustering is a method in data mining and statistics used to build a hierarchy of clusters. Traditional hierarchical clustering relies on a measure of dissimilarity to combine ...

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 ...

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: Background/Objective: Wrinkles, nasolabial folds, pigmented spots, and roughness are representative parameters reflecting facial skin aging. Among them, nasolabial folds are a particular ...

examples_distance.dat is one of the supplementary files in "Clustering by fast search and find of density peaks "sample.txt is an example dataset with 4000 instances and each instance has two features ...