An adaptive density-based method for clustering evolving data streams / Amineh Amini
Density-based method has emerged as a worthwhile class for clustering data streams. It has the abilities to discover clusters of arbitrary shapes, handle noise, and cluster without prior knowledge of number of clusters. The characteristics of data stream includes infinite volume, dynamically changin...
| मुख्य लेखक: | Amini, Amineh |
|---|---|
| स्वरूप: | थीसिस |
| प्रकाशित: |
2014
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| विषय: |
समान संसाधन
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समान संसाधन
-
An online density-based clustering algorithm for data stream based on local optimal radius and cluster pruning
द्वारा: Islam, Md Kamrul
प्रकाशित: (2019) -
Adaptive grid-meshed-buffer clustering algorithm for outlier detection in evolving data stream
द्वारा: Abdulateef, Alaa Fareed
प्रकाशित: (2023) -
The evolving fuzzy clustering approach for discriminating neutron and gamma-ray pulses / Ali Seyed Shirkhorshidi
द्वारा: Ali Seyed , Shirkhorshidi
प्रकाशित: (2020) -
Framework for stream clustering of trajectories based on temporal micro clustering technique
द्वारा: Abdulrazzaq, Musaab Riyadh
प्रकाशित: (2018) -
Dynamic and adaptive execution models for data stream mining applications in mobile edge cloud computing systems / Muhammad Habib Ur Rehman
द्वारा: Muhammad Habib , Ur Rehman
प्रकाशित: (2016)