Keywords and Phrases
Hierarchical clustering; Subjective clustering
"In order to develop successful products in today’s competitive market, it is essential to analyze customer needs accurately. Because the number of customer needs collected using a marketing survey tends to be large, it is necessary to group similar needs and identify a small number of representative needs. Subjective Clustering is a statistical method that uses the Hierarchical Clustering algorithm to group similar customer needs into clusters. This research compares Subjective Clustering (SC) and Bootstrap applied to Subjective Clustering (BS-SC) for determining how accurately these methods estimate population primary clusters. In order to investigate inherent characteristics in the two methods, the first paper proposes a simulation-based comparative study. The research done in the second paper validates the simulation- based research with empirical data-based research, in which the authors recruited participants to perform the clustering experiments and assumed that these participants made up the population under study. The authors randomly sampled subsets of participants for the desired comparative study. Both sets of results suggest that BS-SC estimates the population primary cluster more accurately than SC when the sample size is small relative to the population size; however, as the sample size increases, SC estimates the population primary cluster more accurately then BS-SC"--Abstract, page iv.
Midha, A. (Ashok)
Mechanical and Aerospace Engineering
M.S. in Mechanical Engineering
Intelligent Systems Center
University of Missouri--Rolla
Journal article titles appearing in thesis/dissertation
- A comparative study of bootstrap application to subjective clustering
- Investigating the accuracy of subjective clustering and bootstrap application to subjective clustering using an empirical population
x, 48 pages
© 2006 Nishant Bhardwaj, All rights reserved.
Thesis - Restricted Access
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Link to Catalog Record
Electronic access to the full-text of this document is restricted to Missouri S&T users. Otherwise, request this publication directly from Missouri S&T Library or contact your local library.http://merlin.lib.umsystem.edu/record=b5850417~S5
Bhardwaj, Nishant, "Application of bootstrap to subjective clustering" (2006). Masters Theses. 5893.
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