Clustering Mixed Data by Fast Search and Find of Density Peaks

Shihua Liu, Bingzhong Zhou, Decai Huang and Liangzhong Shen

Mathematical Problems in Engineering, 2017, vol. 2017, 1-7

Abstract:

Aiming at the mixed data composed of numerical and categorical attributes, a new unified dissimilarity metric is proposed, and based on that a new clustering algorithm is also proposed. The experiment result shows that this new method of clustering mixed data by fast search and find of density peaks is feasible and effective on the UCI datasets.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:5060842

DOI: 10.1155/2017/5060842

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