Clustering Categorical data: for exploratory data analysis - Raghu Nangunuri,Prashanth Kumar Devarakonda
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Data clustering is an important technique for exploratory data analysis and has been the focus of substantial research in several domains for decades among which Sampling has been recognized as an important technique to improve the efficiency of clustering. However, with sampling applied, those points that are not sampled will not have their labels after the normal process. Although there is a straightforwa ... Full description
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Description
Data clustering is an important technique for exploratory data analysis and has been the focus of substantial research in several domains for decades among which Sampling has been recognized as an important technique to improve the efficiency of clustering. However, with sampling applied, those points that are not sampled will not have their labels after the normal process. Although there is a straightforward approach in the numerical domain, the problem of how to allocate those unlabeled data points into proper clusters remains as a challenging issue in the categorical domain.
More Information
| Author | Raghu Nangunuri, Prashanth Kumar Devarakonda |
|---|---|
| Publisher | LAP LAMBERT Academic Publishing |
| Release year | 2012 |
| Cover type | Softcover |
| EAN | 9783659258602 |