Found 17 datasets matching "k-means clustering".
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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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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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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...
Search relevance: 114.76 | Views last month: 0 -
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...
Search relevance: 75.82 | Views last month: 2 -
The MODIS Collection 6.1 Equal-Angle Three-Hourly Cloud Regime product. This product is a discrete classification of cloud fields at the mesoscale as observed by the MODIS sensors aboard the Terra...
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The MODIS Collection 6.1 Equal-Area Three-Hourly Cloud Regime product. This product is a discrete classification of cloud fields at the mesoscale as observed by the MODIS sensors aboard the Terra...
Search relevance: 73.86 | Views last month: 0 -
The MODIS Collection 6.1 Equal-Angle Three-Hourly Cloud Regime product. This product is a discrete classification of cloud fields at the mesoscale as observed by the MODIS sensors aboard the Terra...
Search relevance: 73.86 | Views last month: 0 -
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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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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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...
Search relevance: 64.13 | Views last month: 0 -
This reference contains the imagery data used in the completion of the baseline vegetation inventory project for the NPS park unit. Orthophotos, raw imagery, and scanned aerial photos are common...
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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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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...
Search relevance: 57.38 | Views last month: 0 -
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...
Search relevance: 57.24 | Views last month: 0 -
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...
Search relevance: 54.28 | Views last month: 1 -
The ascomycete Neofusicoccum parvum, one of the causal agents of Botryosphaeria dieback, is a destructive wood‐infecting fungus and a serious threat to grape production worldwide. The capability...
Search relevance: 38.93 | Views last month: 0