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Cluster Analysis

A family of statistical techniques that group products, consumers, or panelists based on similarity across multiple variables, revealing natural segments or subgroups within the data.

September 5, 2025

One citation, one vote! A new approach for analysing check-all-that-apply (CATA) data using L1-norm methods

September 3, 2025

Comparison of check-all-that-apply product evaluations in different conditions using an L1-norm framework

August 18, 2025

One citation, one vote! A new approach for analyzing check-all-that-apply (CATA) data using L1 norm methods

February 25, 2025

One citation, one vote! A new approach for analysing check-all-that-apply (CATA) data in sensometrics, using L1 norm methods

July 31, 2024

Sugar replacement in chocolate-flavored milk: Differences in liking of sweetener system relates to temporal perception

July 21, 2023

An approach for clustering consumers by their top-box and top-choice responses

November 9, 2022

Clustering consumers based on their hedonic responses

March 4, 2022

Clustering consumers based on product discrimination in check-all-that-apply (CATA) data

August 6, 2019

Analysis of sensory check-all-that-apply (CATA) data which includes the evaluation of a single ideal product

September 22, 2015

Product selection for liking studies: the sensory-informed design

August 23, 2015

Meta-attributes in sensory descriptive analysis

September 17, 2014

Combining highly efficient methods can reduce costs without compromise

July 28, 2014

The Role of Imputation in Clustering BIB Data

August 11, 2013

Sensory informed design: An effective clustering of incomplete block consumer data

September 20, 2012

Designing a consumer liking study using prior sensory information: consumer segments and liking drivers from a study using a designed incomplete block design

August 5, 2012

Using sensory testing to optimize foods and beverage products for an export market

July 13, 2012

Sensory Informed Incomplete Block Designs

July 12, 2012

A New Method for Analyzing Time Intensity Curves

June 20, 2012

You know what you like, but what about everyone else? A case study on incomplete block segmentation of white-bread consumers

July 26, 2009

Segmentation of BIB consumer liking of high-fatigue products: Sensory confirmation of statistical methods

July 21, 2008

Consumer segmentation of BIB liking data of 12 cabernet sauvignon wines: A case study

August 20, 2007

Multivariate and probabilistic analyses of sensory science problems

August 20, 2005

Generating, refining, and calibrating targets: comparing the performance of panellists on two white wine panels