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Related Concept Videos

Cluster Sampling Method01:20

Cluster Sampling Method

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...
Sampling Plans01:23

Sampling Plans

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...
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence the...
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence the...
Law of Independent Assortment02:03

Law of Independent Assortment

While Mendel’s Law of Segregation states that the two alleles for one gene are separated into different gametes, a different question of how different genes are inherited remains. For example, is the gene for tall plants inherited with the gene for green peas? Mendel asked this question by experimenting with a dihybrid cross; a cross in which both parents are homozygous for two distinct traits resulting in an F1 generation that are heterozygous for both traits.
Law of Independent Assortment02:03

Law of Independent Assortment

While Mendel’s Law of Segregation states that the two alleles for one gene are separated into different gametes, a different question of how different genes are inherited remains. For example, is the gene for tall plants inherited with the gene for green peas? Mendel asked this question by experimenting with a dihybrid cross; a cross in which both parents are homozygous for two distinct traits resulting in an F1 generation that are heterozygous for both traits.

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Related Experiment Video

Updated: Jun 2, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

A Link-Based Approach to the Cluster Ensemble Problem.

Natthakan Iam-On, Tossapon Boongoen, Simon Garrett

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |May 18, 2011
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel link-based approach to enhance cluster ensemble analysis by considering relationships between clusters. This method improves clustering quality and stability compared to existing techniques.

    Related Experiment Videos

    Last Updated: Jun 2, 2026

    A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
    08:12

    A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

    Published on: March 1, 2022

    Area of Science:

    • Data Mining
    • Machine Learning
    • Computational Statistics

    Background:

    • Cluster ensembles improve robustness and stability over standard cluster analysis.
    • Existing methods often overlook relationships between clusters in the ensemble information matrix.

    Purpose of the Study:

    • To introduce a novel link-based approach to refine the cluster ensemble information matrix.
    • To improve the quality and stability of clustering results by incorporating inter-cluster relationships.

    Main Methods:

    • Developed a link network model to estimate similarity between clusters.
    • Proposed three new link-based algorithms for similarity assessment.
    • Utilized refined matrix with feature-based and graph-based consensus functions for final clustering.

    Main Results:

    • Empirically demonstrated effectiveness over 10 diverse datasets (synthetic and real).
    • Achieved higher clustering quality compared to several state-of-the-art techniques.
    • Showcased efficient extraction of information embedded within input clusterings.

    Conclusions:

    • The link-based approach effectively leverages inter-cluster relationships, a previously underemphasized aspect.
    • This novel method offers a significant improvement in cluster ensemble analysis.
    • The approach provides a more robust and stable clustering solution.