A Fast K-prototypes Algorithm Using Partial Distance Computation
The k-means is one of the most popular and widely used clustering algorithm; however, it is limited to numerical data only. The k-prototypes algorithm is an algorithm famous for dealing with both numerical and categorical data. However, there have been no studies to accelerate it. In this paper, we...
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-04-01
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| Series: | Symmetry |
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| Online Access: | http://www.mdpi.com/2073-8994/9/4/58 |