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 Videos

Sequential projection pursuit using genetic algorithms for data mining of analytical data.

Q Guo1, F Questier, D L Massart

  • 1ChemoAC, Pharmeceutical Institute, Vrije Universiteit Brussel, Belgium.

Analytical Chemistry
|July 25, 2000
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

[Prognostic significance of serum procalcitonin in patients with extremely severe burn and sepsis].

Zhonghua shao shang za zhi = Zhonghua shaoshang zazhi = Chinese journal of burns·2016
Same author

Identification of protease m1 zinc metalloprotease conferring resistance to deltamethrin by characterization of an AFLP marker in Culex pipiens pallens.

Parasites & vectors·2016
Same author

Perfusion of isolated carotid sinus with hydrogen sulfide attenuated the renal sympathetic nerve activity in anesthetized male rats.

Physiological research·2016
Same author

All-trans retinoic acid inhibits HOXA7 expression in leukemia cell NB4.

Cellular and molecular biology (Noisy-le-Grand, France)·2016
Same author

Autophagic dysfunction is improved by intermittent administration of osteocalcin in obese mice.

International journal of obesity (2005)·2016
Same author

Syndecan-1 serves as a marker for the progression of epithelial ovarian carcinoma.

European journal of gynaecological oncology·2015
Same journal

Machine Learning-Assisted Label-Free SERS Decoding of Mitochondrial Molecular Dynamics in Ovarian Granulosa Cells during Aging.

Analytical chemistry·2026
Same journal

Revealing the Regulatory Interplay of NHE1 mRNA and Na<sup>+</sup> in Cancer Cells Using a DNA Nanosensor.

Analytical chemistry·2026
Same journal

Towards Cellular Resolution of Tryptic Peptides in Tissue Sections by MALDI MS Imaging: A Focus on Enzyme Application and Reproducibility.

Analytical chemistry·2026
Same journal

Bioinspired Bilayer Hydrogel Colorimetric Sensor Array for Low-Temperature Food Freshness Analysis.

Analytical chemistry·2026
Same journal

Quartz Crystal Microbalance-Based Point-of-Care Testing Systems: Principles, Device Design, and Applications.

Analytical chemistry·2026
Same journal

Heterojunction Gate-Empowered OPECT Aptasensing: A Valid Protocol for Realizing High Current Gain at Low Electron Donor Dependency.

Analytical chemistry·2026
See all related articles

Sequential Projection Pursuit (SPP) effectively detects clusters in high-dimensional data. This new method offers advantages over Principal Component Analysis (PCA) for identifying sample groups with distinct chemical characteristics.

Area of Science:

  • Analytical Chemistry
  • Chemometrics
  • Data Science

Background:

  • High-dimensional analytical data often contains hidden structures or inhomogeneities.
  • Principal Component Analysis (PCA) is used for data exploration but not optimal for cluster detection.
  • Traditional Projection Pursuit (PP) is effective for finding inhomogeneities but computationally demanding.

Purpose of the Study:

  • To introduce Sequential Projection Pursuit (SPP) as a novel method for detecting clusters in high-dimensional analytical data.
  • To compare the performance of SPP with PCA in identifying data inhomogeneities.
  • To address the computational limitations of existing methods.

Main Methods:

  • SPP sequentially extracts latent variables based on their importance, measured by an entropy index.

Related Experiment Videos

  • A genetic algorithm is employed for the optimization step within the SPP method.
  • The method was evaluated using simulated, near-infrared, and gas chromatography datasets.

    • Main Results:

    • SPP successfully detected inhomogeneities (clusters) in high-dimensional datasets.
    • The study demonstrated that SPP reveals information about inhomogeneities more effectively than PCA.
    • SPP combines the strengths of PCA and PP while mitigating their weaknesses.

    Conclusions:

    • Sequential Projection Pursuit (SPP) is a computationally efficient and effective method for cluster detection in high-dimensional analytical data.
    • SPP offers a superior alternative to PCA for identifying sample groups with distinct chemical characteristics.
    • The findings suggest SPP's utility in various analytical chemistry applications.