2024-03-29T09:10:31Z
https://nagoya.repo.nii.ac.jp/oai
oai:nagoya.repo.nii.ac.jp:00018588
2023-01-16T04:40:28Z
320:502:503
Questionnaire Data Analysis Based on a New Dendrogram for Visualization of Hierarchical Structure of Proximity
Minh, Tuan Pham
53997
Tomohiro, Yoshikawa
53998
Takeshi, Furuhashi
53999
Visualization is one of the most useful methods to understand similarity or dissimilarity among data. However, most linear methods such as PCA or MDA are not appropriate for construction of hierarchical model based on the distances (similarity/dissimilarity) between instances, because they do not consider the distances for visualization. This paper proposes a new dendrogram map based on multi-dimensional scaling (MDS) using a spring model which considers the distances between instances. This paper applies the proposed method to clustering of two sets of data. One is those prepared for a thought experiment. The other is questionnaire data on a planned product. The results show that the proposed dendrogram visualizes differences in distances between data while the conventional dendrogram and the conventional MDS were not able to do.
10th International Symposium on Advanced Intelligent Systems (ISIS 2009). August 17-19, 2009, Dong-A University, Busan, KOREA
conference paper
Korean Institute of Intelligent Systems
2009-08
application/pdf
ISIS 2009 PROCEEDINGS OF THE 10TH SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS
17
21
http://hdl.handle.net/2237/20684
https://nagoya.repo.nii.ac.jp/record/18588/files/Questionnaire_Data_Analysis_Based_on_a_New_Dendrogram_for_Visualization_of_Hierarchical_Structure_of_Proximity.pdf
eng