Publication Type : Book Chapter
Publisher : Advances in Signal Processing and Intelligent Recognition Systems
Source : Advances in Signal Processing and Intelligent Recognition Systems, Springer, p.521–531 (2016)
Url : http://www.scopus.com/inward/record.url?eid=2-s2.0-84954539060&partnerID=40&md5=d6defc9134bd746ba24b193577e7526c
ISBN : 9783319286563
Campus : Bengaluru
School : Department of Computer Science and Engineering, School of Engineering
Center : E-Learning
Department : Computer Science
Year : 2016
Abstract : In present world robots are used in various spheres of life. In all these areas, knowledge of the environment is required to perform appropriate actions. The information about the environment is collected with the help of onboard sensors and image capturing device mounted on the mobile robot. As the information collected is of huge volume, data mining offers the possibility of discovering the hidden knowledge from this large amount of data. Clustering is an important aspect of data mining which will be explored in detail for grouping the scenario from multiple views. © Springer International Publishing Switzerland 2016.
Cite this Research Publication : M. Reshma, Vivek, P., Gopalapillai, R., Dr. Deepa Gupta, and Sudarshan, T. S. B., “Multi-view Robotic Time Series Data Clustering and Analysis Using Data Mining Techniques”, in Advances in Signal Processing and Intelligent Recognition Systems, Springer, 2016, pp. 521–531.