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Research of case retrieval strategy based on partitional clustering algorithm

Authors: null Shi-xia Ma; null Jian-hua Liu; null Dan Liu;

Research of case retrieval strategy based on partitional clustering algorithm

Abstract

Case clustering is the core of case-based reasoning system. This paper partitions clustering to case base and designs a case retrieval strategy based on heterogeneous case base. Then, the paper analyzes the partitional principles of case base and the clustering rules of cases, and focuses on the case retrieval strategy based on partitional clustering. The experimental results show that this method can effectively improve the efficiency of case clustering and the maintainability of case base.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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