Found 207 datasets matching "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,...
Search relevance: 136.68 | Views last month: 3 -
Evaluating Correlation Between Measurement Samples in Reverberation Chambers Using ClusteringAbstract: Traditionally, in reverberation chambers (RC) measurement autocorrelation or...
Search relevance: 113.49 | Views last month: 0 -
Background A computational system for analysis of the repetitive structure of genomic sequences is described. The method uses suffix trees to organize and search the input sequences;...
Search relevance: 112.82 | Views last month: 0 -
The overarching effects and benefits of land management decisions, such as through watershed restoration, are often not fully understood due to a lacking control within an experimental design....
Search relevance: 100.67 | Views last month: 0 -
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...
Search relevance: 87.65 | Views last month: 0 -
MULTI-LABEL ASRS DATASET CLASSIFICATION USING SEMI-SUPERVISED SUBSPACE CLUSTERING MOHAMMAD SALIM AHMED, LATIFUR KHAN, NIKUNJ OZA, AND MANDAVA RAJESWARI Abstract. There has been a lot of...
Search relevance: 86.65 | Views last month: 1 -
This paper presents a framework aimed at monitoring the behavior of aircraft in a given airspace. Trajectories that constitute typical operations are determined and learned using data-driven...
Search relevance: 69.91 | Views last month: 0 -
Here we report on a rapid, high throughput approach using fingerprint Fourier transformed infrared (FTIR) spectroscopy and chemometric modeling. Fingerprint FTIR incorporates all information...
Search relevance: 66.81 | Views last month: 6 -
The South Florida Water Management District (SFWMD) and the U.S. Geological Survey (USGS) have evaluated projections of future droughts for south Florida based on climate model output from the...
Search relevance: 66.35 | Views last month: 0 -
These data were used for preparation of Sargeant et al. (2021), "Spatial network clustering reveals elk population structure and local variation in the prevalence of chronic wasting disease." ...
Search relevance: 65.67 | Views last month: 0 -
This file contains statistics on the spatial clustering of the internal rate of return for residential rooftop solar over a 20 year period. Specifically, the IRR per roof was calculated using...
Search relevance: 63.36 | Views last month: 0 -
This paper presents a framework aimed at monitoring the behavior of aircraft in a given airspace. Trajectories that constitute typical operations are determined and learned using data driven...
Search relevance: 62.14 | Views last month: 0 -
This dataset contains the site clusters identified from a Bayesian network analysis with data clustering. Original data used for identifying clusters came from the Region 4 urban background study...
Search relevance: 60.46 | Views last month: 0 -
The South Florida Water Management District (SFWMD) and the U.S. Geological Survey (USGS) have evaluated projections of future droughts for south Florida based on climate model output from the...
Search relevance: 60.17 | Views last month: 0 -
This preliminary data archive includes the relocated microseismic event catalog, 1D velocity model, and methods report from DAS acquisition conducted during the Well 16A and 16B circulation test...
Search relevance: 52.19 | Views last month: 0 -
Watershed pairing is an approach used to assess effects of restoration on a landscape by comparing conditions across a treatment watershed and a control watershed, and then quantifying the...
Search relevance: 51.41 | Views last month: 1 -
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...
Search relevance: 42.21 | Views last month: 0 -
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: 40.83 | Views last month: 0 -
Rheumatoid arthritis (RA) patients experience a markedly increased frequency of cardiovascular disease. We evaluated cardiovascular risk profiles in 79 RA patients and in 39 age-matched and...
Search relevance: 38.85 | Views last month: 0 -
Dynamical family classification of asteroids by Zappala, et al., based on the hierarchical clustering method.
Search relevance: 38.70 | Views last month: 0
