Stream Clustering
Rowanda Ahmed
Broschiertes Buch

Stream Clustering

Unsupervised Machine Learning

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Recently as applications produce overwhelming data streams, the need for strategies to analyze and cluster streaming data becomes an urgent and crucial research area for knowledge discovery. The main objective and the key aim of data stream clustering are to gain insights into incoming data. Recognizing all probable patterns in this boundless data, which arrives at varying speeds and structure and evolves over time, is very important in this analysis process. The point is to find the arbitrary shaped clusters in just a single pass clustering while keeping up with different arrival speeds of th...