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

Cluster analysis to improve food classification within commodity groups.

C T Windham, M P Windham, B W Wyse

    Journal of the American Dietetic Association
    |October 1, 1985
    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

    The impact of rising sea temperatures on an Arctic top predator, the narwhal.

    Scientific reports·2020
    Same author

    Narwhals require targeted conservation.

    Science (New York, N.Y.)·2020
    Same author

    ENZYMIC SYNTHESIS OF INOSINE 5'-DIPHOSPHATE GLUCOSE AND INOSINE 5'-DIPHOSPHATE MANNOSE.

    Biochemical and biophysical research communications·2015
    Same author

    The presence of adenosine diphosphoribose and adenosine triphosphoribose in acid extracts of certain animal tissues.

    Biochimica et biophysica acta·2014
    Same author

    Cluster Validity for the Fuzzy c-Means Clustering Algorithrm.

    IEEE transactions on pattern analysis and machine intelligence·2011
    Same author

    Prevalence of depression and its treatment in an elderly population: the Cache County study.

    Archives of general psychiatry·2000
    Same journal

    How can I help my client who is experiencing a weight-loss plateau?

    Journal of the American Dietetic Association·2011
    Same journal

    Nutrition professionals are obligated to follow ethical guidelines when conducting industry-funded research.

    Journal of the American Dietetic Association·2011
    Same journal

    Accuracy of quick and easy undernutrition screening tools--Short Nutritional Assessment Questionnaire, Malnutrition Universal Screening Tool, and modified Malnutrition Universal Screening Tool--in patients undergoing cardiac surgery.

    Journal of the American Dietetic Association·2011
    Same journal

    Health behaviors and weight status of childhood cancer survivors and their parents: similarities and opportunities for joint interventions.

    Journal of the American Dietetic Association·2011
    Same journal

    Sensory evaluation ratings and moisture contents show that soy is acceptable as a partial replacement for all-purpose wheat flour in peanut butter graham crackers.

    Journal of the American Dietetic Association·2011
    Same journal

    How much of racial/ethnic disparities in dietary intakes, exercise, and weight status can be explained by nutrition- and health-related psychosocial factors and socioeconomic status among US adults?

    Journal of the American Dietetic Association·2011
    See all related articles

    Mathematical clustering algorithms reclassified foods based on nutrient content, addressing limitations in traditional grouping methods. This approach enhances food categorization for nutritional adequacy and moderation.

    Area of Science:

    • Nutritional Science
    • Computational Biology
    • Food Science

    Background:

    • Traditional food grouping methods struggle with simultaneous analysis of multiple nutrients.
    • Accurate food classification is crucial for dietary guidelines and public health.

    Purpose of the Study:

    • To develop a novel method for classifying foods based on nutrient profiles.
    • To improve food grouping by considering both nutrient deficiencies and excesses.

    Main Methods:

    • Applied mathematical clustering algorithms to classify foods within dairy, grain, and fat groups.
    • Utilized nutrient data including vitamin B-6, calcium, iron, magnesium, folacin, zinc, added sugar, fat, cholesterol, and sodium.
    • Assigned a degree of association to indicate compositional similarity to cluster prototypes.

    Related Experiment Videos

    Main Results:

    • Successfully clustered foods based on complex nutrient profiles, overcoming limitations of previous methods.
    • Identified subgroups within commodity categories, such as whole milk and natural cheese clustering together due to moderate nutrients and high fat/sodium.
    • Discovered a grain subgroup comprising whole wheat breads, pumpernickel, and pancakes, characterized by high nutrients and low cholesterol/sugar.

    Conclusions:

    • The clustering approach provides an objective and accurate method for food classification.
    • Expanded food groups incorporate nutritional adequacy and moderation of concerning components.
    • This method offers a foundation for refining dietary recommendations and food supply assessments.