Cluster Hybrid Property Data Based on the Combination of K-Means and K-Prototypes

Hai Yan Zhou; Quan Yin Zhu

doi:10.4028/www.scientific.net/AMM.401-403.1358

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Application of Fault Diagnosis for Air Blower Based on Genetic Fuzzy Neural Network
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Calculation of Optimized Movement Trajectories for the Human Forearm
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Classification of Ship’ Magnetic Field and Feature Selection Based on the Improved Weighted Fuzzy Clustering Algorithm
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Cluster Hybrid Property Data Based on the Combination of K-Means and K-Prototypes
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FMECA Method of Health Management-Oriented
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 401-403Cluster Hybrid Property Data Based on the...

Cluster Hybrid Property Data Based on the Combination of K-Means and K-Prototypes

Abstract:

In this paper, a concept of hybrid property data which includes both numeric property and classified property is presented, accompanied with a definition about the distance between hybrid property data.

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Periodical:

Applied Mechanics and Materials (Volumes 401-403)

Pages:

1358-1361

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.401-403.1358

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Online since:

September 2013

Authors:

Hai Yan Zhou, Quan Yin Zhu

Keywords:

Data Clustering, Data Mining (DM), Hybrid Property, K-Mean, K-Prototypes

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References

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