A Review of Threshold Based Clustering Technique on Different Optimization Function [ READ ]
Anuradha Paliwal , Mr.Himanshu Yadav, Mr.Anurag jain
Threshold based clustering technique is new generation of clustering technique. The threshold based clustering technique gives the principle of optimal cluster generation process. The optimal cluster generation process gives the feasible number of cluster during the generation of clustering technique. The concept of optimal clustering technique is a new area of pattern generation and analysis process. In this paper present the review of threshold based clustering technique used in different clustering domain such as hard clustering, soft clustering, hierarchical clustering and mountain clustering technique. For the selection of threshold function used various heuristic and meta-heuristic functions along with neural network. The family of heuristic function gives the verity of optimization algorithm. The neural network based threshold selection process gives optimization as well as error minimization during the cluster generation.
Anuradha Paliwal , Mr.Himanshu Yadav, Mr.Anurag jain
Threshold based clustering technique is new generation of clustering technique. The threshold based clustering technique gives the principle of optimal cluster generation process. The optimal cluster generation process gives the feasible number of cluster during the generation of clustering technique. The concept of optimal clustering technique is a new area of pattern generation and analysis process. In this paper present the review of threshold based clustering technique used in different clustering domain such as hard clustering, soft clustering, hierarchical clustering and mountain clustering technique. For the selection of threshold function used various heuristic and meta-heuristic functions along with neural network. The family of heuristic function gives the verity of optimization algorithm. The neural network based threshold selection process gives optimization as well as error minimization during the cluster generation.
