Abstract
With the beginning of new era data has grown rapidly not only in size but also in variety. There is a difficulty in analyzing such big data. Data mining is the technique in which useful information and hidden relationship among data is extracted. The traditional data mining approaches could not be directly implanted on big data as it faces difficulties to analyze big data. Clustering is one of the major techniques used for data mining in which mining is performed by finding out clusters having similar group of data. In this paper we have discussed some of the current big data mining clustering techniques. Comprehensive analysis of these techniques is carried out and appropriate clustering algorithm is provided.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
