Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Aug 22, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

7.0K

Grid-Based Clustering Using Boundary Detection.

Mingjing Du1, Fuyu Wu1

  • 1School of Computer Science and Technology, Jiangsu Normal University, Xuzhou 221116, China.

Entropy (Basel, Switzerland)
|November 11, 2022
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

Cluster Sampling Method01:20

Cluster Sampling Method

12.3K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
12.3K
Boundary Conditions: Lossless Lines01:21

Boundary Conditions: Lossless Lines

141
Consider a single-phase, two-wire, lossless transmission line terminated by an impedance at the receiving end and a source with Thevenin voltage and impedance at the sending end. The line, with length, has a surge impedance and wave velocity determined by the line's inductance and capacitance.
At the receiving end, the boundary condition states that the voltage equals the product of the receiving-end impedance and current. This relationship is expressed as a function of the incident and...
141
Boundary Conditions for Current Density01:25

Boundary Conditions for Current Density

943
Current density becomes discontinuous across an interface of materials with different electrical conductivities. The normal component of the current density is continuous across the boundary.
943
Areas Within Irregular Boundaries01:26

Areas Within Irregular Boundaries

108
Calculating areas within irregular boundaries, such as along rivers or curved roads, is crucial in various fields, including surveying, engineering, and environmental management. Surveyors often begin by creating a traverse, a connected series of straight lines approximating the area's boundary. The coordinates of each traverse point are essential for calculating the enclosed area. The double meridian distance formula is a widely used technique for this purpose. This method utilizes the...
108
Electrostatic Boundary Conditions01:16

Electrostatic Boundary Conditions

565
Consider an external electric field propagating through a homogeneous medium. When the electric field crosses the surface boundary of the medium, it undergoes a discontinuity. The electric field can be resolved into normal and tangential components. The amount by which the field changes at any boundary is given by the difference between the field components above and below the surface boundary.
The surface integral of an electric field is given by Gauss's law in integral form and is related to...
565
Boundary Layer Characteristics01:18

Boundary Layer Characteristics

204
When a fluid encounters a solid surface, a boundary layer forms due to the interaction between the fluid's motion and the stationary surface. This phenomenon is characterized by a thin region adjacent to the surface where viscous forces dominate, influencing the fluid's velocity profile. The development of the boundary layer begins at the leading edge of the surface and evolves as the fluid moves downstream.As the fluid flows over the surface, friction between the fluid and the wall slows down...
204

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Numerical simulation of sediment diffusion induced by marine sand mining and sensitivity analysis of key parameters: A case study of the waters of Dingzi Bay, China.

Environmental research·2026
Same author

Halogenated flame retardants contamination in Chinese teas: levels, sources, and human exposure.

Environmental pollution (Barking, Essex : 1987)·2025
Same author

Dual-band ESSPP-SSPP transmission line with independently controllable cutoff frequencies.

Optics letters·2024
Same author

Attention-Based Sequence-to-Sequence Model for Time Series Imputation.

Entropy (Basel, Switzerland)·2022
Same author

Random forest-based estimation of heavy metal concentration in agricultural soils with hyperspectral sensor data.

Environmental monitoring and assessment·2019
Same journal

Research on a Regional Availability Evaluation Model for Road-Area High-Entropy Energy Based on Synergy Factors.

Entropy (Basel, Switzerland)·2026
Same journal

Atmospheric Turbulence Channel Modeling and Performance Analysis of a CO-ZP-OFDM Coherent Optical Communication System for UAV Air-to-Ground Scenarios.

Entropy (Basel, Switzerland)·2026
Same journal

Information Geometry and Asymptotic Theory for SMML Estimators.

Entropy (Basel, Switzerland)·2026
Same journal

Correlation Entropy and Power-Law Kinetics.

Entropy (Basel, Switzerland)·2026
Same journal

Research on the Contagion of Systemic Financial Risk Under the Impact of Climate Risks-From the Perspective of Complex Networks and Machine Learning.

Entropy (Basel, Switzerland)·2026
Same journal

The Statistical-Mechanical Meaning of the Wave Function of Quantum Mechanics.

Entropy (Basel, Switzerland)·2026
See all related articles

This study introduces GCBD, a novel grid-based clustering algorithm. GCBD effectively handles spatial data challenges like varying densities and overlapping clusters, outperforming existing methods.

Area of Science:

  • Computer Science
  • Data Mining
  • Machine Learning

Background:

  • Grid-based clustering is efficient for spatial data but struggles with parameter tuning and complex cluster structures.
  • Traditional algorithms face difficulties with overlapping regions and varying cluster densities.

Purpose of the Study:

  • To propose a new grid-based clustering algorithm, GCBD, to address limitations of existing methods.
  • To improve the handling of spatial data with overlapping regions and varying densities.

Main Methods:

  • GCBD utilizes a standard grid structure for node density estimation.
  • An iterative boundary detection strategy distinguishes core and boundary nodes.
  • Combined clustering strategies group core nodes and assign boundary nodes.
Keywords:
boundary detectiondensity-based clusteringgrid-based clustering

More Related Videos

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

43.0K
Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
07:21

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

Published on: February 12, 2011

14.4K

Related Experiment Videos

Last Updated: Aug 22, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

7.0K
Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

43.0K
Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
07:21

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

Published on: February 12, 2011

14.4K

Main Results:

  • Experiments on 18 datasets show GCBD's superior performance.
  • GCBD effectively addresses parameter tuning and data challenges.
  • The algorithm demonstrates improved handling of clusters with overlapping regions and varying densities.

Conclusions:

  • GCBD offers an effective solution for grid-based clustering challenges.
  • The proposed algorithm enhances spatial data analysis capabilities.
  • GCBD outperforms six competing grid-based clustering algorithms.