Clustering large datasets using K-means modified inter and intra clustering (KM-I2C) in Hadoop
Abstract Big data has become popular for processing, storing and managing massive volumes of data. The clustering of datasets has become a challenging issue in the field of big data analytics. The K-means algorithm is best suited for finding similarities between entities based on distance measures w...
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| Автори: | , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
SpringerOpen
2017-09-01
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| Серія: | Journal of Big Data |
| Предмети: | |
| Онлайн доступ: | http://link.springer.com/article/10.1186/s40537-017-0087-2 |
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