Clustering of data for multigroup using ID3algorithm and CMean algorithm
Nishant Dhiman, Abhishek Tyagi · International Journal of Innovative Research in Science Engineering and Technology · 2013
Data mining is the useful tool to discovering the knowledge from large database. For this we require proper classification methods & algorithms. In this paper, we are talking about the soil erection problem which can be removed with the help of proper clustering. C MEAN algorithm is one of the best techniques we have ever seen in data mining over a cluster but the problem with C MEAN is that, it lacks when you either use a very big data set or a small dataset. Hence in our research work, we will be implementing the ID3 ALGORITHM and will the check the accuracy terms with the C MEAN algorithm. Now our problem is to create a new group to check out whether the implemented algorithms can make any change in the accuracy if we increase the privacy level or not. The result of research tells us about the soil belongs to a fertilizing group.