Patent Technology Clustering Based on Their Classification and the Classification Schedule
Date Issued
2008
Date
2008
Author(s)
Cho, Yee-Ting
Abstract
Each classification code in the patent document represents a definite technical domain, this thesis took U.S. patent as research source and selected U.S. patent classification (USPC) code as the feature to represent a patent. According to those features, the technology cluster could be formed by the high similar patents. Each U.S. patent may have one or multiple technical viewpoints due to its amounts of USPC code, it can be represented by a feature list. U.S. classification system is composed by many USPC schedules, each USPC schedule represent a set of technical domain. he objective technology cluster was formed by the feature list similarities of patents, and the similarities could be measured by two factors, one was only considering the conceptual distance between two USPC codes under the same USPC schedule, another was considering the pair coupled rate of two USPC codes under different USPC schedules in addition. This thesis used two stage clustering algorithm to get the technology cluster, the first stage used hierarchical clustering algorithm to determine the number of clusters, the second stage used non-hierarchical clustering algorithm to get the members of each cluster.inally, in cases study, discussed whether different patent similarity measures, could result to different technology clusters or not.
Subjects
patent cluster
patent classification
USPC schedule
patent similarity
technology clustering
Type
thesis
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