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- W2792978002 abstract "Classification and clustering are two main tasks of pattern recognition. Ensemble of classifiers or clustering algorithms is one of the ways to provide a robust, accurate and stable final result. In addition, clustering may be used to improve the performance of a classifier or vice versa. In this paper, a novel framework is proposed as an ensemble of classification and clustering algorithms. In this framework, clustering can be done based on the structure of a base classifier. By use of this framework, new clustering methods can be generated, or some classic ones may be regenerated considering underlying theory of a particular classifier. As a sample of the proposed framework, Parzen windows classifier is used as the base classifier to generate a variety of clustering algorithms including some well-known methods, complete and single linkage." @default.
- W2792978002 created "2018-03-29" @default.
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- W2792978002 date "2017-10-01" @default.
- W2792978002 modified "2023-09-25" @default.
- W2792978002 title "A novel framework to generate clustering algorithms based on a particular classification structure" @default.
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- W2792978002 doi "https://doi.org/10.1109/aisp.2017.8324081" @default.
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