Pages that link to "Item:Q1697916"
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The following pages link to Feature-weighted clustering with inner product induced norm based dissimilarity measures: an optimization perspective (Q1697916):
Displaying 12 items.
- A survey on feature weighting based K-means algorithms (Q333337) (← links)
- Developing a feature weight self-adjustment mechanism for a K-means clustering algorithm (Q1023820) (← links)
- Feature weighting in \(k\)-means clustering (Q1402268) (← links)
- An optimization algorithm for clustering using weighted dissimilarity measures (Q1887698) (← links)
- A study of feature representation via neural network feature extraction and weighted distance for clustering (Q2084665) (← links)
- Optimizing cluster structures with inner product induced norm based dissimilarity measures: theoretical development and convergence analysis (Q2282276) (← links)
- Axiomatic generalization of the membership degree weighting function for fuzzy \(C\) means clustering: theoretical development and convergence analysis (Q2293290) (← links)
- Feature relevance in Ward's hierarchical clustering using the \(L_p\) norm (Q2353144) (← links)
- Further improvements in feature-weighted fuzzy C-means (Q2629953) (← links)
- Modeling Decisions for Artificial Intelligence (Q5313164) (← links)
- A cluster's feature weighting fuzzy clustering algorithm integrating rough sets and shadowed sets (Q5399671) (← links)
- On the strong consistency of feature-weighted \(k\)-means clustering in a nearmetric space (Q6541502) (← links)
