Two-step clustering-based pipeline for big dynamic functional network connectivity data
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.1109/embc48229.2022.9871997
Abstract: Background Dynamic functional network connectivity (dFNC) estimated from resting-state functional magnetic imaging (rs-fMRI) studies the temporally varying functional integration between brain networks. In a conventional dFNC pipeline, a clustering stage to summarize the connectivity patterns… read more here.
Keywords: two step; dfnc; dfnc pipeline; step clustering ... See more keywords
Two-Step Clustering for Mineral Prospectivity Mapping: A Case Study from the Northeastern Edge of the Jiaolai Basin, China
Sign Up to like & getrecommendations! Published in 2024 at "Minerals"
DOI: 10.3390/min14111089
Abstract: The advancement of geological big data has rendered data-driven methodologies increasingly vital in Mineral Prospectivity Mapping. The effective integration of quantitative and qualitative data, including experiential and knowledge-based insights, is crucial in geological data fusion.… read more here.
Keywords: prospectivity mapping; categorical variables; mineral prospectivity; step clustering ... See more keywords