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 Concept Videos

Cluster Sampling Method01:20

Cluster Sampling Method

15.6K
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...
15.6K
Sampling Plans01:23

Sampling Plans

1.3K
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
1.3K
Optimal Foraging00:48

Optimal Foraging

14.2K
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
14.2K
Stratified Sampling Method01:16

Stratified Sampling Method

16.2K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures 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 stratified sample, divide the population into groups called strata and then take a...
16.2K
Methods of Medium Optimization01:28

Methods of Medium Optimization

53
Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
53
Optimization Problems01:26

Optimization Problems

185
Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...
185

You might also read

Related Articles

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

Sort by
Same author

Efficiently finding earliest and latest paths via binary weighting in multi-objective network routing.

Scientific reports·2026
Same author

Optimizing Diabetes Diagnosis Through Pulse Waveform Analysis and Data Mining.

Bioengineering (Basel, Switzerland)·2025
Same author

A Lightweight Breast Cancer Mass Classification Model Utilizing Simplified Swarm Optimization and Knowledge Distillation.

Bioengineering (Basel, Switzerland)·2025
Same author

Self-learning salp swarm algorithm for global optimization and its application in multi-layer perceptron model training.

Scientific reports·2024
Same author

The Application of Deep Learning to Accurately Identify the Dimensions of Spinal Canal and Intervertebral Foramen as Evaluated by the IoU Index.

Bioengineering (Basel, Switzerland)·2024
Same author

Pioneering Data Processing for Convolutional Neural Networks to Enhance the Diagnostic Accuracy of Traditional Chinese Medicine Pulse Diagnosis for Diabetes.

Bioengineering (Basel, Switzerland)·2024

Related Experiment Video

Updated: Apr 4, 2026

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

8.8K

Accelerated Simplified Swarm Optimization with Exploitation Search Scheme for Data Clustering.

Wei-Chang Yeh1, Chyh-Ming Lai1

  • 1Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu City, Taiwan.

Plos One
|September 9, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a novel clustering algorithm using simplified swarm optimization, combining variable vibrating search and rapid centralized strategy for improved data partitioning. The new method demonstrates competitive performance in solution quality across benchmark datasets.

More Related Videos

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware
08:13

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

Published on: December 25, 2017

8.8K

Related Experiment Videos

Last Updated: Apr 4, 2026

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

8.8K
SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware
08:13

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

Published on: December 25, 2017

8.8K

Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Data Mining

Background:

  • Data clustering is crucial for organizing information across various scientific disciplines.
  • Evolutionary algorithms have become prominent tools for addressing complex clustering challenges.
  • Existing methods may face limitations in efficiency and solution refinement.

Purpose of the Study:

  • To propose a novel clustering algorithm based on simplified swarm optimization.
  • To enhance clustering performance by integrating variable vibrating search (VVS) and rapid centralized strategy (RCS).
  • To evaluate the algorithm's effectiveness on benchmark datasets.

Main Methods:

  • Developed a new algorithm integrating simplified swarm optimization with VVS for solution refinement and RCS for accelerated convergence.
  • Employed VVS as an exploitation scheme to search for optimal solutions near the global best.
  • Utilized RCS with arithmetic averaging to enhance the algorithm's convergence speed.

Main Results:

  • The proposed algorithm was tested on 12 benchmark datasets.
  • Performance was compared against recent state-of-the-art clustering methods.
  • Statistical analysis confirmed the algorithm's competitive solution quality.

Conclusions:

  • The novel simplified swarm optimization-based algorithm offers a promising approach to data clustering.
  • The combination of VVS and RCS effectively balances solution quality and convergence rate.
  • The algorithm shows potential for practical applications in data analysis and machine learning.