February 2015
Beginner to intermediate
498 pages
16h 57m
English
Content preview from Big Data
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Chapter 9
KSC-net
Community Detection for Big Data Networks
Raghvendra Mall and Johan A.K. Suykens
Abstract
In this chapter, we demonstrate the applicability of the kernel spectral clustering (KSC) method for community detection in Big Data networks. We give a practical exposition of the KSC method [1] on large-scale synthetic and real-world networks with up to 106 nodes and 107 edges. The KSC method uses a primal–dual framework to construct a model on a smaller subset of the Big Data network. The original large-scale kernel matrix cannot fit in memory. So we select smaller subgraphs using a fast and unique representative subset (FURS) selection technique as proposed in Reference 2. These subsets are used for training and validation, respectively, ...
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