Data Clustering - Algorithms and Applications

"Clustering is a diverse topic, and the underlying algorithms depend greatly on the data domain and problem scenario. This book focuses on three primary aspects of data clustering: the core methods such as probabilistic, density-based, grid-based, and spectral clustering etc; different problem domains and scenarios such as multimedia, text, biological, categorical, network, and uncertain data as well as data streams; and different detailed insights from the clustering process because of the subjectivity of the clustering process, and the many different ways in which the same data set can be clustered"--

Product details

• Authors: Charu C. (Ibm Research Aggarwal
• Assisted by: Charu C. Aggarwal (Editor), Aggarwal Charu C. (Editor), Chandan K. Reddy (Editor)
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 21.08.2013
• EAN: 9781466558212
• ISBN: 978-1-4665-5821-2
• No. of pages: 652
• Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; BUSINESS & ECONOMICS / Statistics, COMPUTERS / Programming / Games, COMPUTERS / Machine Theory, computer science, COMPUTERS / Data Science / Data Analytics