Performance analysis of single and complete link during Agglomerative clustering of question papers by tagging the questions and trend analysis using single link
| Autor: | Rasendu Mishra, Nilesh K. Modi, Rushabh Shah |
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| Rok vydání: | 2014 |
| Předmět: |
Fuzzy clustering
Brown clustering Computer science business.industry Correlation clustering Single-linkage clustering computer.software_genre Machine learning Complete-linkage clustering Hierarchical clustering ComputingMethodologies_PATTERNRECOGNITION Data stream clustering Data mining Artificial intelligence Cluster analysis business computer |
| Zdroj: | 2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies. |
| DOI: | 10.1109/icaccct.2014.7019161 |
| Popis: | The paper discusses here about clustering question papers, by tagging the questions of each paper, using Agglomerative clustering methods using single and complete link. The paper clearly shows the number of papers clustered in various iterations, time consumed in clustering the papers completely and finally the clustering result. The clustering is done based on Euclidean Distance measures for similarity calculations. The paper also demonstrates the trend after clustering using single link. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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