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

12.4K
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...
12.4K
Sampling Plans01:23

Sampling Plans

241
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...
241
Multi-Step Reactions02:31

Multi-Step Reactions

7.4K
Chemical reactions often occur in a stepwise fashion involving two or more distinct reactions taking place in a sequence. A balanced equation indicates the reacting species and the product species, but it reveals no details about how the reaction occurs at the molecular level. The reaction mechanism (or reaction path) provides details regarding the precise, step-by-step process by which a reaction occurs. Each of the steps in a reaction mechanism is called an elementary reaction. These...
7.4K
Two-Way ANOVA01:17

Two-Way ANOVA

2.7K
The two-way ANOVA is an extension of the one-way ANOVA. It is a statistical test performed on three or more samples categorized by two factors - a row factor and a column factor. Ronald Fischer mentioned it in 1925 in his book 'Statistical Methods for Researchers.'
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
2.7K
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

4.3K
In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
4.3K
Three-Compartment Open Model01:06

Three-Compartment Open Model

379
The three-compartment open model is a pharmacokinetic model used to describe the distribution and elimination of drugs following extravascular administration. It comprises a central compartment representing the plasma and two peripheral compartments. The highly perfused peripheral compartment represents organs and tissues with a rich blood supply, such as the liver, kidneys, and lungs. The scarcely perfused peripheral compartment represents tissues with lower blood supply, such as adipose...
379

You might also read

Related Articles

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

Sort by
Same author

Ultrasound-assisted maillard reaction: a novel strategy for debittering, flavor enhancement, and antioxidant activity improvement of walnut peptides.

Food chemistry: X·2026
Same author

AISCT-SAM: Customized SAM-Med2D with 3D Context Awareness and Self-Prompt Generation for Fully Automatic Acute Ischemic Stroke Lesion Segmentation on Non-Contrast CT Scans.

IEEE journal of biomedical and health informatics·2026
Same author

Kiwifruit genomics and applications: recent advances, current challenges, and future prospects.

Horticulture research·2026
Same author

Electrochemical Oxidation Ring-Opening of Spiro-Dihydroheteroaromatics with <i>N</i>-(Arylsulfonyl)acrylamides to Form Quinazolinone-Containing Long-Chain Amides.

The Journal of organic chemistry·2026
Same author

Editorial: Robust machine learning.

Frontiers in artificial intelligence·2026
Same author

Prevalence of intestinal protozoan parasites (Giardia, Cryptosporidium, Blastocystis and Enterocytozoon) in animals from Qinghai-Tibetan Plateau area, China.

Acta tropica·2026
Same journal

Granular Ball-Based Noise-Resistant Fuzzy Multineighborhood Feature Selection via Label Enhancement and Feature Graph.

IEEE transactions on neural networks and learning systems·2026
Same journal

Fighting Evolving Spam With ARTMAP Models: A Noise-Resilient Online Detection Framework.

IEEE transactions on neural networks and learning systems·2026
Same journal

HyperSAT: Unsupervised Hypergraph Neural Networks for Weighted MaxSAT Problems.

IEEE transactions on neural networks and learning systems·2026
Same journal

Negation of Basic Belief Assignment in Multisource Information Fusion on Dempster-Shafer Theory With Applications in Pattern Classification.

IEEE transactions on neural networks and learning systems·2026
Same journal

Intervention Feasible Region and Driver Risk Capacity Aware Human-Machine Collaborative Safe Trajectory Planning.

IEEE transactions on neural networks and learning systems·2026
Same journal

A Unified Differential Denoising Learning Framework With a Pre-Trained Model and Fuzzy Graph Networks for Drug-Drug Interaction Prediction.

IEEE transactions on neural networks and learning systems·2026
See all related articles

Related Experiment Video

Updated: Aug 27, 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

M3W: Multistep Three-Way Clustering.

Mingjing Du, Jingqi Zhao, Jiarui Sun

    IEEE Transactions on Neural Networks and Learning Systems
    |September 29, 2022
    PubMed
    Summary
    This summary is machine-generated.

    The novel multistep three-way clustering (M3W) algorithm enhances cluster analysis by progressively gathering information and adaptively capturing data structures. M3W improves upon existing methods, offering greater accuracy and fault tolerance in three-way clustering tasks.

    More Related Videos

    ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
    05:12

    ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

    Published on: January 16, 2019

    11.5K
    A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'
    10:31

    A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'

    Published on: February 10, 2017

    11.2K

    Related Experiment Videos

    Last Updated: Aug 27, 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
    ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
    05:12

    ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

    Published on: January 16, 2019

    11.5K
    A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'
    10:31

    A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'

    Published on: February 10, 2017

    11.2K

    Area of Science:

    • Cluster analysis
    • Data mining
    • Machine learning

    Background:

    • Three-way clustering is an active research area.
    • Existing algorithms have limitations in information acquisition and fault tolerance.
    • One-step allocation using global thresholds may not reveal inherent data structures.

    Purpose of the Study:

    • To propose a new algorithm, multistep three-way clustering (M3W), to address limitations in existing three-way clustering methods.
    • To improve information acquisition and fault tolerance in cluster analysis.
    • To adaptively capture the inherent clustering structure of datasets.

    Main Methods:

    • Developed a progressive erosion strategy to create a multilevel data structure.
    • Introduced a multistep three-way allocation strategy considering neighborhood information.
    • Combined multilevel structure with multistep allocation for enhanced information gathering.

    Main Results:

    • M3W demonstrated superior performance compared to eight competing algorithms.
    • The algorithm was tested on 18 benchmark datasets.
    • Experimental results validated the advantages and effectiveness of M3W.

    Conclusions:

    • M3W effectively addresses limitations of existing three-way clustering algorithms.
    • The proposed method enhances information acquisition and fault tolerance.
    • M3W adaptively captures inherent data structures, leading to improved clustering accuracy.