Found 152 datasets matching "Data clustering".
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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: 83.82 | 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: 74.65 | 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: 57.09 | 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: 54.07 | Views last month: 6 -
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: 45.49 | 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...
Search relevance: 42.87 | Views last month: 0 -
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: 39.82 | Views last month: 3 -
A data processing system processes data arrays that collectively describe cyclic behavior of at least one variable in several entities in a physical process. Each cycle comprises several time...
Search relevance: 39.28 | Views last month: 0 -
This dataset has been superseded by version 4.1 of the data. Dynamical family classification of asteroids by Zappala, et al., based on the hierarchical clustering method.
Search relevance: 37.71 | 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: 37.05 | Views last month: 1 -
This dataset has been superseded by version 4.1 of the data. Dynamical family classification of asteroids by Zappala, et al., based on the hierarchical clustering method.
Search relevance: 36.72 | Views last month: 0 -
These data (all data tables for the data release) represent a suite of biotic and abiotic variables that characterized plant communities and the geologic, geomorphic, edaphic, climatic, and land...
Search relevance: 36.01 | Views last month: 1 -
Estimation and validation data for site by species matrices used in the publication 'Clustering and ensembling approaches to support surrogate-based species management' by H.R. Sofaer et al. 2019...
Search relevance: 35.82 | Views last month: 1 -
This data set contains the Zappala et al. (1995) [ZAPPALAETAL1995] asteroid dynamical families classifications, based on the hierarchical clustering method applied to the proper elements of Milani...
Search relevance: 35.06 | Views last month: 0 -
This data set contains the Zappala et al. (1995) [ZAPPALAETAL1995] asteroid dynamical families classifications, based on the hierarchical clustering method applied to the proper elements of Milani...
Search relevance: 34.80 | Views last month: 0 -
This file contains coral reef physical structure summary data collected from 6,016 10m2 stations in the Florida Reef Tract during 2005-2020 that was put together and modified for analysis by...
Search relevance: 34.56 | Views last month: 22 -
This data set contains asteroid dynamical family memberships for 55 families, calculated by David Nesvorny using his code based on the Hierarchical Clustering Method (HCM) described in Zappala et...
Search relevance: 34.09 | 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...
Search relevance: 33.24 | 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: 33.22 | Views last month: 0 -
Background Microarray technologies are emerging as a promising tool for genomic studies. The challenge now is how to analyze the resulting large amounts of data. Clustering techniques...
Search relevance: 33.07 | Views last month: 3
