articleTop 1% cited
Evaluation of clustering algorithms for financial risk analysis using MCDM methods
Information Sciences · 2014 · Vol. 275 · pp. 1–12
Gang Kou(Southwestern University of Finance and Economics)Yi Peng✉(University of Electronic Science and Technology of China)Guoxun Wang(University of Electronic Science and Technology of China)
Financial Distress and Bankruptcy PredictionAdvanced Clustering Algorithms ResearchImbalanced Data Classification TechniquesMultiple-criteria decision analysisCluster analysisComputer scienceData miningAlgorithmRank (graph theory)Machine learningMathematicsMathematical optimization
Funding
- National Natural Science Foundation of China
Citations
756
FWCI
131.75
field-weighted impact
References
87
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100%
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Cited by
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References
Multiple Attribute Decision Making: Methods and Applications
Medical Entomology and Zoology · 1981 · 8,269 citations
Algorithms for Clustering Data
Technometrics · 1990 · 7,836 citations
Data clustering
ACM Computing Surveys · 1999 · 13,065 citations
Objective Criteria for the Evaluation of Clustering Methods
Journal of the American Statistical Association · 1971 · 5,849 citations
Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm
Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1977 · 49,286 citations
Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS
European Journal of Operational Research · 2003 · 4,666 citations
Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning · 1987 · 1,759 citations
Measuring the efficiency of decision making units
European Journal of Operational Research · 1978 · 28,401 citations
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