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Su, C.T. and Li, T.S. (2002) Neural and MTS Algorithms for Feature Selection. The Asian Journal on Quality, 3, 113-131. https://doi.org/10.1108/15982688200200023

has been cited by the following article:

• TITLE: Comparison and Validation of Distance on the Balanced Assignments of Group Having Entities with Multiple Attributes

  AUTHORS: Young Rhee

  KEYWORDS: Balanced Assignment, Clustering, Mahalanobis Distance

  JOURNAL NAME: American Journal of Industrial and Business Management, Vol.9 No.6, June 30, 2019

  ABSTRACT: In this paper, the balanced assignment is studied in classification of a group with multiple attribute into many subgroups without losing its similarity. The similarity or closeness in clustering is often measured as a distance. The Mahalanob distance is considered as one of the tools for measuring its closeness. The comparison between the distance criterion is shown by changing a specific assignment standard, and finally comparing it against the MTS method.