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...
保存先:
| フォーマット: | Online |
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| 言語: | 英語 |
| 出版事項: |
IntechOpen
2023
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| 主題: | |
| オンライン･アクセス: | ONIX_20231201_9781789235272_1369 |
| タグ: |
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| _version_ | 1869524267192811520 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-130260 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1302602024-04-14T10:27:49Z Recent Applications in Data Clustering Pirim, Harun machine learning, deep learning, iot, genetic algorithm, construction, algorithm thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining 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. 2023-12-01T17:13:05Z 2023-12-01T17:13:05Z 2018 book ONIX_20231201_9781789235272_1369 9781789235272 9781789235265 9781838815608 https://directory.doabooks.org/handle/20.500.12854/130260 eng image/jpeg n/a https://www.intechopen.com/books/6569 https://mts.intechopen.com/storage/books/6569/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/intechopen.71315 10.5772/intechopen.71315 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9781789235272 9781789235265 9781838815608 IntechOpen 248 open access |
| spellingShingle | machine learning, deep learning, iot, genetic algorithm, construction, algorithm thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining Recent Applications in Data Clustering |
| title | Recent Applications in Data Clustering |
| title_full | Recent Applications in Data Clustering |
| title_fullStr | Recent Applications in Data Clustering |
| title_full_unstemmed | Recent Applications in Data Clustering |
| title_short | Recent Applications in Data Clustering |
| title_sort | recent applications in data clustering |
| topic | machine learning, deep learning, iot, genetic algorithm, construction, algorithm thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining |
| topic_facet | machine learning, deep learning, iot, genetic algorithm, construction, algorithm thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining |
| url | ONIX_20231201_9781789235272_1369 |