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Genetic algorithm to optimize the SVM and K-means algorithms for mapping of mineral prospectivity
Neural computing & applications (Print), 2022R. Ghezelbash +4 more
semanticscholar +1 more source
A cluster-based oversampling algorithm combining SMOTE and k-means for imbalanced medical data
Information Sciences, 2021Zhaozhao Xu +5 more
semanticscholar +1 more source
Robust deep k-means: An effective and simple method for data clustering
Pattern Recognition, 2021Shudong Huang +3 more
semanticscholar +1 more source
2018
As we learned in Chaps. 7, 8, and 9, classification could help us make predictions on new observations. However, classification requires (human supervised) predefined label classes. What if we are in the early phases of a study and/or don’t have the required resources to manually define, derive, or generate these class labels?
openaire +1 more source
As we learned in Chaps. 7, 8, and 9, classification could help us make predictions on new observations. However, classification requires (human supervised) predefined label classes. What if we are in the early phases of a study and/or don’t have the required resources to manually define, derive, or generate these class labels?
openaire +1 more source
Robustness Properties of k Means and Trimmed k Means
Journal of the American Statistical Association, 1999Luis Angel Garcia-Escudero +1 more
openaire +1 more source
Bengali Document Clustering: A Comparative Study of K-Means, K-Means++, Spectral K-Means
Amartya Roy +2 moreopenaire +1 more source