Skip Nav Destination
1-4 of 4
Keywords: hierarchical clusteringClose
Proc. ASME. IDETC-CIE2020, Volume 4: 22nd International Conference on Advanced Vehicle Technologies (AVT), V004T04A007, August 17–19, 2020
Paper No: DETC2020-22339
...Abstract Abstract This paper presents a clustering technique for the detection of the obstacles and lane boundaries on a road. The algorithm consists of two nested clustering stages. The first stage is based on hierarchical clustering, and the second on k-means clustering. The method exploits...
Proc. ASME. IDETC-CIE2004, Volume 3d: 8th Design for Manufacturing Conference, 935-943, September 28–October 2, 2004
Paper No: DETC2004-57777
... Needs Constraints Affinity Diagram Subjective Clustering Hierarchical Clustering Proceedings of DETC 04 ASME 2004 Design Engineering Technical Conferences and N a i n 9 KEYWOR Diagram, Sub 1. INTRODU The first s analysis of cu and constrai constraints, f competitive m The analy collecting...
Proc. ASME. IDETC-CIE2005, Volume 4b: Design for Manufacturing and the Life Cycle Conference, 503-511, September 24–28, 2005
Paper No: DETC2005-85432
.... This paper presents a procedure for bootstrap application to subjective clustering, a preliminary experiment, and an illustrative example. Bootstrap Subjective Clustering Hierarchical Clustering Customer Needs Proceedings of IDETC/CIE 2005 ASME 2005 International Design Engineering Technical...
Proc. ASME. IDETC-CIE2006, Volume 4b: 11th Design for Manufacturing and the Lifecycle Conference, 811-819, September 10–13, 2006
Paper No: DETC2006-99623
... 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...