Data Clustering: Algorithms and Applications (Chapman & - download pdf or read online

By Charu C. Aggarwal,Chandan K. Reddy

Research at the challenge of clustering has a tendency to be fragmented around the development popularity, database, facts mining, and laptop studying groups. Addressing this challenge in a unified method, Data Clustering: Algorithms and Applications offers whole assurance of the complete quarter of clustering, from easy easy methods to extra sophisticated and complicated info clustering ways. It can pay targeted realization to contemporary matters in graphs, social networks, and different domains.

The e-book specializes in 3 fundamental facets of information clustering:

  • Methods, describing key strategies widespread for clustering, reminiscent of characteristic choice, agglomerative clustering, partitional clustering, density-based clustering, probabilistic clustering, grid-based clustering, spectral clustering, and nonnegative matrix factorization

  • Domains, masking equipment used for various domain names of knowledge, comparable to specific information, textual content info, multimedia info, graph information, organic facts, circulate facts, doubtful info, time sequence clustering, high-dimensional clustering, and massive information

  • Variations and Insights, discussing very important adaptations of the clustering technique, resembling semisupervised clustering, interactive clustering, multiview clustering, cluster ensembles, and cluster validation

In this publication, best researchers from worldwide discover the features of clustering difficulties in quite a few software parts. additionally they clarify tips to glean unique perception from the clustering process—including tips on how to confirm the standard of the underlying clusters—through supervision, human intervention, or the automatic new release of different clusters.

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Data Clustering: Algorithms and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) by Charu C. Aggarwal,Chandan K. Reddy

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