Reproducibility Assessment of K-Means Clustering and Applications
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허명회
(고려대학교 통계학과)
이용구 (중앙대학교 응용통계학과) |
1 |
A comparison of cluster analysis techniques within a sequential validation framework
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DOI |
2 |
재표본 추출 및 검정을 통한 집락 수의 예측
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3 |
An asymptotic result concerning a comparative statistic in cluster analysis
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4 |
A method to predict the number of clusters
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5 |
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6 |
Comparing partitions
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DOI |
7 |
A nearest-centroid technique for evaluating the minimum-variance clustering procedure
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DOI |
8 |
Clustering validation: Results and implications for applied analyses
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9 |
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10 |
Objective criteria for the evaluation of clustering methods
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DOI ScienceOn |
11 |
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