Data Clustering system on categorical data using modified K-modes clustering algorithms
This study focused on implementing a system which clusters categorical data with or without missing values using two modified K-modes algorithms namely, the available case analysis and the adaptive imputation. Files with .txt extensions are the only ones accepted the system. The file or data set mus...
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| 格式: | Thesis |
| 语言: | English |
| 出版: |
2009
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