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| Title: | A comparative study of bootstrap application to subjective clustering |
| Author (s): | Bhardwaj, N. Takai, Shun |
| Department/Lab Affiliations: | Design Engineering Center Intelligent Systems Center Interdisciplinary Engineering |
| Keywords: | Bootstrap Comparative study Customer needs Hierarchical clustering Subjective clustering |
| Issue Date: | 2006 |
| Publisher: | American Society of Mechanical Engineers |
| Citation: | Bhardwaj, N. and Takai, S., “A Comparative Study of Bootstrap Application to Subjective Clustering,” Proceedings of DETC/CIE 2006 ASME 2006 Intl Design Engineering & Computers and Information in Engineering Conferences, Philadelphia, PA. DETC2006-99623 |
| Abstract: | In order to develop successful products in today's competitive market, it is essential to analyze customer needs accurately. Since the number of customer needs collected using 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 Hierarchical Clustering algorithm to group similar customer needs into clusters. This paper 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, this paper proposes a simulation-based comparative study. The result suggests that BS-SC estimates population primary cluster more accurately than SC when the sample size is small relative to population size; however, as sample size increases, SC estimate is more accurate than BS-SC. |
| Type: | Article - Conference proceedings text |
| In Title: | Proceedings of DETC/CIE 2006 ASME 2006 Intl Design Engineering & Computers and Information in Engineering Conferences September 2006, Philadelphia, Pennsylvania USA (DETC2006) |
| Copyright Notice: | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. FULL COPYRIGHT INFORMATION: |
| Publisher URL: | |
| Link to this page: |
| title | A comparative study of bootstrap application to subjective clustering |
| contributor.author | Bhardwaj, N. |
| contributor.author | Takai, Shun |
| contributor.deptlab | Design Engineering Center |
| contributor.deptlab | Intelligent Systems Center |
| contributor.deptlab | Interdisciplinary Engineering |
| subject | Bootstrap |
| subject | Comparative study |
| subject | Customer needs |
| subject | Hierarchical clustering |
| subject | Subjective clustering |
| date.issued | 2006 |
| publisher | American Society of Mechanical Engineers |
| identifier.citation | Bhardwaj, N. and Takai, S., “A Comparative Study of Bootstrap Application to Subjective Clustering,” Proceedings of DETC/CIE 2006 ASME 2006 Intl Design Engineering & Computers and Information in Engineering Conferences, Philadelphia, PA. DETC2006-99623 |
| identifier.pub.URI | |
| description.abstract | In order to develop successful products in today's competitive market, it is essential to analyze customer needs accurately. Since the number of customer needs collected using 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 Hierarchical Clustering algorithm to group similar customer needs into clusters. This paper 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, this paper proposes a simulation-based comparative study. The result suggests that BS-SC estimates population primary cluster more accurately than SC when the sample size is small relative to population size; however, as sample size increases, SC estimate is more accurate than BS-SC. |
| type | Article - Conference proceedings |
| type.DCMIType | text |
| type.status | Final version |
| rights | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
| rights.URI | |
| relation.isPartOf | Proceedings of DETC/CIE 2006 ASME 2006 Intl Design Engineering & Computers and Information in Engineering Conferences September 2006, Philadelphia, Pennsylvania USA (DETC2006) |
| date.accessioned | 2007-04-11T17:00:48Z |
| date.available | 2008-05-08T15:53:13Z |
| identifier.persist.URI |