Effective generation of clusters for gene data
Keywords:
K-Mean, DNA, reference sequence, FCMAbstract
In this paper we have analysed that which of the algorithms leads to efficient generation of cluster for gene data so that making use of the existing algorithms such as Hierarchical, partitional, fuzzy k-mean and ART1 NN and takes input from the NCBI and provide input to above algorithms and find the time taken to produced the result and also takes reference sequence from the NCBI and compare the clustering result with the reference sequence then decide how much of presentence the clustering result match with the reference sequence and with minimum amount of time after that rank all these algorithms in rank wise and depending upon this rank the developer pick the algorithm and develop their application.
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