The DEMIX database (Guth, 2023) contains statistics from 6 test 1 arc second DEMs (ALOS, ASTER, CopDEM, FABDEM, NASADEM, and SRTM) compared to high resolution reference DEMs. The database contains 236 DEMIX tiles (Guth and others, 2023) and has 7 tile characteristics for each tile. A K-means clustering of the database, and an additional set of 4 land cover and landform classifications for the 236 DEMIX tiles produced variable numbers of clusters. This data set includes five databases including the clustering results, a figure showing the scatterplots showing the relations among the tile characteristics in the database, and map showing the location of the clusters. References: Guth, P. L., 2023. DEMIX GIS Database Version 2 (2.0) [Dat...
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) Cluster...
Clustering is the process of grouping a set of objects into clusters so that objects within a cluste...
Clustering is a division of data into groups of similar objects. Representing the data by fewer clus...
The DEMIX database (Guth, 2023a) contains statistics from 6 test 1 arc second DEMs (ALOS, ASTER, Cop...
DEMIX seeks to rank 6 global 1 arc sec DEMs (COPDEM, FABDEM, ALOS, NASADEM, SRTM, and ASTER) [1]. I...
We show the power of the DEMIX database and the reference DEMs created to support it to analyze the ...
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) cluster...
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) Cluster...
In recent times Big Data Analysis are imminent as essential area in the field of Computer Science. T...
Clustering is the procedure of partitioning so as to characterize articles into diverse gatherings s...
<p>Clustering analysis results, indicating the number, configuration and distinctiveness (mixing pro...
This reference data supports the work of the Digital Elevation Model Intercomparison eXercise (DEMIX...
Abstract: Clustering is an effective data mining operation used to divide the available data set in ...
In the past few decades, clustering has been widely used in areas such as pattern recognition, data ...
Given a set of observations (x1, x2, …, xn), where each observation is a d-dimensional real vector, ...
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) Cluster...
Clustering is the process of grouping a set of objects into clusters so that objects within a cluste...
Clustering is a division of data into groups of similar objects. Representing the data by fewer clus...
The DEMIX database (Guth, 2023a) contains statistics from 6 test 1 arc second DEMs (ALOS, ASTER, Cop...
DEMIX seeks to rank 6 global 1 arc sec DEMs (COPDEM, FABDEM, ALOS, NASADEM, SRTM, and ASTER) [1]. I...
We show the power of the DEMIX database and the reference DEMs created to support it to analyze the ...
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) cluster...
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) Cluster...
In recent times Big Data Analysis are imminent as essential area in the field of Computer Science. T...
Clustering is the procedure of partitioning so as to characterize articles into diverse gatherings s...
<p>Clustering analysis results, indicating the number, configuration and distinctiveness (mixing pro...
This reference data supports the work of the Digital Elevation Model Intercomparison eXercise (DEMIX...
Abstract: Clustering is an effective data mining operation used to divide the available data set in ...
In the past few decades, clustering has been widely used in areas such as pattern recognition, data ...
Given a set of observations (x1, x2, …, xn), where each observation is a d-dimensional real vector, ...
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) Cluster...
Clustering is the process of grouping a set of objects into clusters so that objects within a cluste...
Clustering is a division of data into groups of similar objects. Representing the data by fewer clus...