0

Full Content is available to subscribers

Subscribe/Learn More  >

Investigating the Accuracy of Subjective Clustering and Bootstrap Application to Subjective Clustering Using an Empirical Population

[+] Author Affiliations
Nishant Bhardwaj, Shun Takai

University of Missouri-Rolla

Paper No. IMECE2006-14516, pp. 371-377; 7 pages
doi:10.1115/IMECE2006-14516
From:
  • ASME 2006 International Mechanical Engineering Congress and Exposition
  • Manufacturing Engineering and Textile Engineering
  • Chicago, Illinois, USA, November 5 – 10, 2006
  • Conference Sponsors: Manufacturing Engineering Division and Textile Engineering Division
  • ISBN: 0-7918-4774-8 | eISBN: 0-7918-3790-4
  • Copyright © 2006 by ASME

abstract

For a new product to be successful in today's market, engineers need to identify representative customer needs. One approach to identify representative needs from a large number of needs is Subjective Clustering (SC). A set of clusters obtained from SC is a point estimate of clusters generated by a population of customers. Another approach is to apply Bootstrap (BS) to SC. By applying BS to SC, engineers can draw an inference about population primary clusters. This paper compares the accuracy of estimating population primary clusters using SC and Bootstrap applied to SC (BS-SC). The authors recruited participants to perform the clustering experiments and assumed that these participants consist a population. The authors randomly sampled subsets of participants and evaluated how accurately SC and BS-SC identify population primary clusters. When the sample size is small relative to the population, BS-SC estimated population primary clusters more accurately than SC.

Copyright © 2006 by ASME
Topics: Engineers

Figures

Tables

Interactive Graphics

Video

Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In