Similarity Measurement among Technologies using Euclidean Distance
نویسنده
چکیده
Recently, various technologies for conserving and using energy resources efficiently have been developed worldwide, among which wind energy and fuel cells have been receiving much attention as renewable energy, and LED application field has received attention in the aspect of energy usage. This study aims to build an IPC network among technologies using patent information on wind energy, fuel cells, and LED application field, and to investigate the connectivity structure between technologies with network clustering. As a result, it was concluded that technologies in the fields of wind energy, fuel cells, and LED application were interconnected. When analyzing the yearly similarities between technologies using Euclidean distance, it was estimated that the technological similarities in the fields of LED application and fuel cells have been increasing. Keywords—Clustering, Network Analysis, Euclidean
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