Abstract
Recently, Chaturvedi, Green and Carroll (2001) presented a nonparametric approach to deriving clusters from categorical data using a new clustering procedure called K-modes. Huang (1998) proposed the K-modes clustering algorithm. In this note, we demonstrate the equivalence of the two K-modes procedures.
| Original language | English |
|---|---|
| Pages (from-to) | 257-261 |
| Number of pages | 5 |
| Journal | Journal of Classification |
| Volume | 20 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Sept 2003 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 4 Quality Education
User-Defined Keywords
- Categorical data
- Clustering
- Fuzzy partitioning
- K-means algorithm
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