Results 31 to 40 of about 617,742 (295)

Delaunay Triangulation-Based Spatial Clustering Technique for Enhanced Adjacent Boundary Detection and Segmentation of LiDAR 3D Point Clouds

open access: yesSensors, 2019
In spatial data with complexity, different clusters can be very contiguous, and the density of each cluster can be arbitrary and uneven. In addition, background noise that does not belong to any clusters in the data, or chain noise that connects multiple
Jongwon Kim, Jeongho Cho
doaj   +1 more source

The Clustering of Extragalactic Extremely Red Objects

open access: yes, 2004
We have measured the angular and spatial clustering of 671 K5 Extremely Red Objects (EROs) from a 0.98 square degree sub-region of the NOAO Deep Wide-Field Survey (NDWFS).
Arjun Dey   +11 more
core   +1 more source

Clustering of galaxies at 3.6 microns in the Spitzer Wide-area Infrared Extragalactic legacy survey [PDF]

open access: yes, 2007
We investigate the clustering of galaxies selected in the 3.6 micron band of the Spitzer Wide-area Infrared Extragalactic (SWIRE) legacy survey. The angular two-point correlation function is calculated for eleven samples with flux limits of S_3.6 > 4-400
Babbedge, T. S. R.   +13 more
core   +2 more sources

Invasion and adaptive evolution for individual-based spatially structured populations [PDF]

open access: yes, 2006
The interplay between space and evolution is an important issue in population dynamics, that is in particular crucial in the emergence of polymorphism and spatial patterns.
Champagnat, Nicolas, Méléard, Sylvie
core   +5 more sources

Spatial Clustering for Inhomogeneous Populations

open access: yesJournal of the Royal Statistical Society Series B: Statistical Methodology, 1990
SUMMARY A new method for detecting spatial clustering of events in populations with non-uniform density is proposed. The method is based on selecting controls from the population at risk and computing interpoint distances for the combined sample. Nonparametric tests are developed which are based on the number of cases among the k nearest
Cuzick, Jack, Edwards, Robert
openaire   +2 more sources

Diffusion map for clustering fMRI spatial maps extracted by independent component analysis

open access: yes, 2013
Functional magnetic resonance imaging (fMRI) produces data about activity inside the brain, from which spatial maps can be extracted by independent component analysis (ICA). In datasets, there are n spatial maps that contain p voxels.
Alluri, Vinoo   +6 more
core   +1 more source

Spatial preferential attachment networks: Power laws and clustering coefficients [PDF]

open access: yes, 2015
We define a class of growing networks in which new nodes are given a spatial position and are connected to existing nodes with a probability mechanism favoring short distances and high degrees.
Jacob, Emmanuel, Mörters, Peter
core   +2 more sources

An Algorithm for Data Reorganization in a Multi-dimensional Index [PDF]

open access: yes, 2012
In spatial databases, data are associated with spatial coordinates and are retrieved based on spatial proximity. A spatial database uses spatial indexes to optimize spatial queries.
Nair, Urvashi Samaresh
core   +1 more source

Approximate k-nearest neighbour based spatial clustering using k-d tree

open access: yes, 2013
Different spatial objects that vary in their characteristics, such as molecular biology and geography, are presented in spatial areas. Methods to organize, manage, and maintain those objects in a structured manner are required.
Otair, Dr. Mohammed
core   +1 more source

Mapping the evolution of mitochondrial complex I through structural variation

open access: yesFEBS Letters, EarlyView.
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin   +2 more
wiley   +1 more source

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