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- W2354662991 abstract "The initial clustering center of the traditional K-means algorithm was generated randomly from the data set,and the clustering result was unstable.An improved K-means algorithm based on density algorithm optimizing initial clustering center was proposed,which selected the furthest mutual distance k points in high-density region as the initial centers.The experimental results demonstrate that the improved K-means algorithm can eliminate the dependence on the initial cluster center,and the clustering result has been greatly improved." @default.
- W2354662991 created "2016-06-24" @default.
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- W2354662991 date "2011-01-01" @default.
- W2354662991 modified "2023-09-24" @default.
- W2354662991 title "Improved K-means algorithm and its implementation based on density" @default.
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