Clustering Large Data with Mixed Values Using Extended Fuzzy Adaptive Resonance Theory
Clustering is one of the technique or approach in content mining and it is used for grouping similar items. Clustering software datasets with mixed values is a major challenge in clustering applications. The previous work deals with unsupervised feature learning techniques such as k-Means and C-Mean...
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Main Authors: | Srinivasulu, Asadi (Author), Dakshayani, Gadupudi (Author) |
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Format: | EJournal Article |
Published: |
Institute of Advanced Engineering and Science,
2016-12-01.
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Online Access: | Get fulltext |
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