Improving K-means through better initialization and normalization
A Choudhary, P Sharma… - … International conference on …, 2016 - ieeexplore.ieee.org
A Choudhary, P Sharma, M Singh
2016 International conference on advances in computing …, 2016•ieeexplore.ieee.orgK-means is still a popular clustering algorithm and active research area. The research is
majorly focused at improving efficiency and effectiveness of the method. This paper
proposes combined approach of a ranked initialization and normalization of data values with
k-means. Three variations of a score based initialization approach is proposed. Experiments
are performed on normalized data to prove the superiority of the proposed algorithm.
majorly focused at improving efficiency and effectiveness of the method. This paper
proposes combined approach of a ranked initialization and normalization of data values with
k-means. Three variations of a score based initialization approach is proposed. Experiments
are performed on normalized data to prove the superiority of the proposed algorithm.
K-means is still a popular clustering algorithm and active research area. The research is majorly focused at improving efficiency and effectiveness of the method. This paper proposes combined approach of a ranked initialization and normalization of data values with k-means. Three variations of a score based initialization approach is proposed. Experiments are performed on normalized data to prove the superiority of the proposed algorithm.
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