On Classification from Outlier View

Computer Science – Artificial Intelligence

Scientific paper

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Conclusion renewed; IAENG International Journal of Computer Science, Volume 37, Issue 4, Nov, 2010

Scientific paper

Classification is the basis of cognition. Unlike other solutions, this study approaches it from the view of outliers. We present an expanding algorithm to detect outliers in univariate datasets, together with the underlying foundation. The expanding algorithm runs in a holistic way, making it a rather robust solution. Synthetic and real data experiments show its power. Furthermore, an application for multi-class problems leads to the introduction of the oscillator algorithm. The corresponding result implies the potential wide use of the expanding algorithm.

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