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 Questionnaire data analysis based on Two-dimensional Dendrogram Map using Spring Model
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Tác giả hoặc Nhóm tác giả: Minh Tuan Pham, Tomohiro Yoshikawa and Takeshi Furuhashi
Nơi đăng: 10th International Symposium on Advanced Intelligent Systems (ISIS 2009); Số: Busan, Korea, August 17-19;Từ->đến trang: 254-257;Năm: 2009
Lĩnh vực: Chưa xác định; Loại: Bài báo khoa học; Thể loại: Quốc tế
TÓM TẮT
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.
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ABSTRACT
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.
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