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Found 19 dataset(s) matching "k-means clustering".
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A heuristically modified version of fuzzy k-means clustering has been used to identify overlapping clusters of yeast genes based on published gene-expression data following the response of yeast...
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All code and input files used in k-means clustering analysis of Opportunity Atlas data. This dataset is associated with the following publication: Zelasky, S., C. Martin, C. Weaver, L. Baxter,...
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This metadata record describes observed and predicted baseflow recession characteristics for 300 streamflow gauges in the western United States and 282 streamflow gauges in the eastern United...
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This dataset contains a global gridded dataset of the surface ocean carbonate system for seasonal to decadal studies of ocean acidification (v2023). The full marine carbonate system is calculated...
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This dataset contains surface-ocean partial pressure of carbon dioxide (pCO2) that the ensemble mean of six two-step clustering-regression machine learning methods. The ensemble is a combination...
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In a large network of computers or wireless sensors, each of the components (henceforth, peers) has some data about the global state of the system. Much of the system's functionality such as...
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<p>The ascomycete <em>Neofusicoccum parvum</em>, one of the causal agents of Botryosphaeria dieback, is a destructive wood‐infecting fungus and a serious threat to grape production worldwide. The...
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In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is...
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Shapefile created by USGS. This is a channel polygon coverage with USGS-delineated bends, each attributed with rive mile (location along river), bend area, thalweg sinuosity, mean channel width,...
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In a large network of computers, wireless sensors, or mobile devices, each of the components (hence, peers) has some data about the global status of the system. Many of the functions of the...
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<p>Data set one: on the population density of <em>Meloidogyne hapla</em> after inoculated on varying soil pH and soil texture during the study. Data set one was used for calculations and...
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Cloud regimes and Cloud-Precipitation Hybrid Regimes are derived via k-means clustering, with MODIS C6.1 2D joint histogram of CTP and COT (total 42 bins) and IMERG v06B precipitation histogram...
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To realistically evaluate the effects of the environment in space it is necessary to understand the effects of external factors during sample transport from Earth to space. The present study...
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To realistically evaluate the effects of the environment in space it is necessary to understand the effects of external factors during sample transport from Earth to space. The present study...
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Landforms in the Bad River (Mashkiiziibii) Estuary were mapped with geomorphons, an automated terrain analysis method that classifies digital elevation model (DEM) cells into ten fundamental...
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This data package presents a three-decade (1985-2017) assessment of heat stress exposure in the wider Caribbean coral reefs at the ecoregional and local scales. The main heat stress indicator...
