Expanding K-Means Algorithm For Absolute Data

Ana-Maria Ramona Stancu () and Mihaela Mocanu ()

Knowledge Horizons - Economics, 2016, vol. 8, issue 2, 163–167

Abstract: In the majority of works published so far on k-means algorithm, the study was performed on numerical data and functions with which the distance between the data points can be calculated. Recently, as far as the clustering issue is concerned, the problem of using absolute data has also been raised, and the algorithms used so far have been considered unacceptable for their implementation in large databases. This article aims to apply accurately the "notion of the cluster center" on a set of absolute objects and how it is used in issues related to absolute objects grouping.

Keywords: Algorithm; center; cluster; data mining; distant; object (search for similar items in EconPapers)
JEL-codes: L8 (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:khe:journl:v:8:y:2016:i:2:p:163-167

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