A dissimilarity measure for mixed nominal and ordinal attribute data in k-Modes algorithm

Author:

Yuan FangORCID,Yang Youlong,Yuan Tiantian

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference33 articles.

1. Jiang F, Liu G (2016) Initialization of K-modes clustering using outlier detection techniques. Inf Sci 332:167–183

2. Ding S, Du M, Sun T, et al. (2017) An entropy-based density peaks clustering algorithm for mixed type data employing fuzzy neighborhood[J]. Knowl-Based Syst 294-313:133

3. Yu H, Chang Z, Zhou B. (2017) A novel three-way clustering algorithm for mixed-type data[C]. In: 2017 IEEE International Conference on Big Knowledge (ICBK), IEEE, pp 119–126

4. Noorbehbahani F, Mousavi S R, Mirzaei A. (2015) An incremental mixed data clustering method using a new distance measure[J]. Soft Comput 19:731–743

5. Rajan V, Bhattacharya S (2016) Dependency clustering of mixed data with gaussian mixture copulas[C], IJCAI-16: 1967–1973

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