Clustering Methods for Big Data Analytics : Techniques, Toolboxes and Applications
Overview
Introduction.- Clustering large scale data.- Clustering heterogeneous data.- Distributed clustering methods.- Clustering structured and unstructured data.- Clustering and unsupervised learning for deep learning.- Deep learning methods for clustering.- Clustering high speed cloud, grid, and streaming data.- Extension of partitioning, model based, density based, grid based, fuzzy and evolutionary clustering methods for big data analysis.- Large documents and textual data clustering.- Applications of big data clustering methods.- Clustering multimedia and multi-structured data.- Large-scale recommendation systems and social media systems.- Clustering multimedia and multi-structured data.- Real life applications of big data clustering.- Validation measures for big data clustering methods.- Conclusion.
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Details
- ISBN-13: 9783030074197
- ISBN-10: 3030074196
- Publisher: Springer
- Publish Date: January 2019
- Dimensions: 9.21 x 6.14 x 0.42 inches
- Shipping Weight: 0.63 pounds
- Page Count: 187
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