A guide to data mining, the process of turning raw data into business insights

Data mining is a process that turns large volumes of raw data into actionable intelligence, and it's used by a wide variety ...
The Manila Times

WiMi Launches Quantum-Assisted Unsupervised Data Clustering Technology Based on Neural Networks

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ('WiMi' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, today announced the launch of a disruptive technology-quantum ...
Frontiers

Structure-guided integrative soft deep clustering analysis of scRNA-seq and scATAC-seq data

1 Department of Urology, The First Hospital of China Medical University, Shenyang, China 2 Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China Introduction: ...
Scientific Research Publishing

Chaudhry, M., Shafi, I., Mahnoor, M., Vargas, D.L.R., Thompson, E.B. and Ashraf, I. (2023) A Systematic Literature Review on Identifying Patterns Using Unsupervised Clustering ...

ABSTRACT: Doping is an issue associated with elite sports as athletes attempt to enhance their performance to gain an edge over other athletes. However, the prevalence of doping is continuously ...
GitHub

Pull requests: vvatpvv/basic_data_mining_algorithms

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.
GitHub

high-dimensional-data-clustering

HypeFCM is a fuzzy clustering algorithm for non-Euclidean spaces, combining hyperbolic geometry with adaptive weight-based filtering in the Poincaré Disc model. It efficiently captures hierarchical ...
Frontiers

Spatial prediction of landslide susceptibility using the data-mining algorithm (case study: Kamyaran county)

Introduction: Mass movements, such as landslides on slopes, are a type of slope activity and a category of natural hazards that result in significant financial, human, and environmental damages ...
IEEE

The best clustering algorithms in data mining

Abstract: In data mining, Clustering is the most popular, powerful and commonly used unsupervised learning technique. It is a way of locating similar data objects into clusters based on some ...