Authors :
Sykam V Narendra Kumar, Ravishanker
Volume/Issue :
Volume 2 - 2017, Issue 10 - October
Google Scholar :
https://goo.gl/DF9R4u
Scribd :
https://goo.gl/mGjQ45
Thomson Reuters ResearcherID :
https://goo.gl/3bkzwv
Abstract :
Clustering can be observed as an omnipresent technique that spread its scope in different areas such as pattern recognition, machine learning, energy optimization, cognitive radio networks, etc. With the enormous increase in the data being produced by huge number of applications daily which needs to be analyzed for efficient results, it should be organized and computed using different data mining techniques. Clustering technique plays a significant role in contributing its usage to obtain a global solution. Handling of data in dynamic environment is to be done properly so as to ensure effective communication. Data correlation is a common issue in a sensor network which needs to be resolved. This paper explores significant clustering techniques that were applied in various domains.
Keywords :
Clustering; Dynamic-Environment; Time-Evolving; Social Network; Biological Network; Communication.
Clustering can be observed as an omnipresent technique that spread its scope in different areas such as pattern recognition, machine learning, energy optimization, cognitive radio networks, etc. With the enormous increase in the data being produced by huge number of applications daily which needs to be analyzed for efficient results, it should be organized and computed using different data mining techniques. Clustering technique plays a significant role in contributing its usage to obtain a global solution. Handling of data in dynamic environment is to be done properly so as to ensure effective communication. Data correlation is a common issue in a sensor network which needs to be resolved. This paper explores significant clustering techniques that were applied in various domains.
Keywords :
Clustering; Dynamic-Environment; Time-Evolving; Social Network; Biological Network; Communication.
