Association of College & Research Libraries (ACRL)

Text and Data Mining Literacy for Librarians

ACRL announces the publication of Text and Data Mining Literacy for Librarians, edited by Whitney Kramer, Iliana Burgos, and Evan Muzzall, demonstrating how academic libraries are supporting TDM ...
eLife

Macroscopic Analyses of RNA-Seq Data to Reveal Chromatin Modifications in Aging and Disease

This valuable study analyzes aging-related chromatin changes through the lens of intra-chromosomal gene correlation length, which is a novel computational metric that captures spatial correlations in ...
IEEE

Accelerating Spherical K-Means Clustering for Large-Scale Sparse Document Data

Abstract: This paper presents an accelerated spherical Kmeans clustering algorithm for large-scale and high-dimensional sparse document data sets. We design an algorithm working in an ...
Scientific Research Publishing

Application of the K-Means Algorithm in the Study of Influenza Transmission Patterns ()

As a highly contagious respiratory disease, influenza exhibits significant spatiotemporal fluctuations in incidence, posing a persistent threat to public health and placing considerable strain on ...
Scientific Research Publishing

He, M. (2024) Network Anomaly Data Mining and Classification Method Based on Improved K-Means Clustering Algorithm. Wireless Interconnection Technology, 21, 119-122.

ABSTRACT: As a highly contagious respiratory disease, influenza exhibits significant spatiotemporal fluctuations in incidence, posing a persistent threat to public health and placing considerable ...
IEEE

Efficient Hardware Architecture Design of K-Means Clustering Algorithm for AV1 Palette Mode Coding

Abstract: The palette mode is a specialized coding tool for coding screen content video in Alliance for Open Media Video 1 (AV1), and K-means clustering is a necessary step in the palette mode.