File:DBSCAN Disadvantage.PNG
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Summary
| Description | English: Figure 9: DBSCAN Disadvantage |
| Date | 4 March 2016 () |
| File source | 1) Data mining: concepts and techniques. Elsevier.
2) A density-based algorithm for discovering clusters in large spatial databases with noise. In Kdd 3) 1998, August. An efficient approach to clustering in large multimedia databases with noise. In KDD 4) "Denclue 2.0: Fast clustering based on kernel density estimation." Advances in Intelligent Data Analysis VII. Springer Berlin Heidelberg, 2007 |
| Author | Han, J., Kamber, M.,Pei, J., Ester, M., Kriegel, H.P., Sander, J., Xu, X., Hinneburg, A., Keim, D.A., Hans-Henning Gabriel. |
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 04:53, 5 March 2016 | | 855 × 561 (176 KB) | JiahongChen (talk | contribs) | User created page with UploadWizard |
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