Recent Applications in Data Clustering
Clustering has emerged as one of the more fertile fields within data analytics, widely adopted by companies, research institutions, and educational entities as a tool to describe similar/different groups. The book Recent Applications in Data Clustering aims to provide an outlook of recent contributi...
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| Format: | eBook |
| Language: | English |
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IntechOpen
2018
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| Collection: | Directory of Open Access Books - Collection details see MPG.ReNa |
| Summary: | Clustering has emerged as one of the more fertile fields within data analytics, widely adopted by companies, research institutions, and educational entities as a tool to describe similar/different groups. The book Recent Applications in Data Clustering aims to provide an outlook of recent contributions to the vast clustering literature that offers useful insights within the context of modern applications for professionals, academics, and students. The book spans the domains of clustering in image analysis, lexical analysis of texts, replacement of missing values in data, temporal clustering in smart cities, comparison of artificial neural network variations, graph theoretical approaches, spectral clustering, multiview clustering, and model-based clustering in an R package. Applications of image, text, face recognition, speech (synthetic and simulated), and smart city datasets are presented. |
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| Item Description: | Creative Commons (cc), https://creativecommons.org/licenses/by/3.0/ |
| Physical Description: | 1 electronic resource (248 p.) |
| ISBN: | intechopen.71315 9781838815608 9781789235265 9781789235272 |