Case-based classification using similarity-based retrieval

作者: I. Jurisica , J. Glasgow

DOI: 10.1109/TAI.1996.560735

关键词:

摘要: Classification involves associating instances with particular classes by maximizing intra-class similarities and minimizing inter-class similarities. The paper presents a novel approach to case-based classification. algorithm is based on notion of similarity assessment was developed for supporting flexible retrieval relevant information. Validity the proposed tested real world domains, system's performance compared that other machine learning algorithms.

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