Pages that link to "Item:Q408047"
From MaRDI portal
The following pages link to Determining the number of clusters using information entropy for mixed data (Q408047):
Displaying 18 items.
- Categorical data clustering with automatic selection of cluster number (Q382464) (← links)
- Multigranulation rough sets: from partition to covering (Q497267) (← links)
- An entropy criterion for assessing the number of clusters in a mixture model (Q1126397) (← links)
- Initialization of \(K\)-modes clustering using outlier detection techniques (Q1750620) (← links)
- Estimating the number of clusters in a ranking data context (Q2055574) (← links)
- A sequential ensemble clusterings generation algorithm for mixed data (Q2335580) (← links)
- Categorical-and-numerical-attribute data clustering based on a unified similarity metric without knowing cluster number (Q2353750) (← links)
- Feature selection in mixed data: a method using a novel fuzzy rough set-based information entropy (Q2416976) (← links)
- Fuzzy clustering of mixed data (Q2656761) (← links)
- A clustering results evaluation method based on information entropy (Q2916398) (← links)
- A weighted clustering algorithm based on information entropy (Q4996527) (← links)
- A novel fast heuristic to handle large-scale shape clustering (Q5222322) (← links)
- Scalable algorithms for clustering large datasets with mixed type attributes (Q5706511) (← links)
- Distance Metrics and Clustering Methods for Mixed‐type Data (Q6086608) (← links)
- Clustering mixed numerical and categorical data with missing values (Q6092070) (← links)
- Partitional clustering via successive transportation problems (Q6161279) (← links)
- New uncertainty measurement for hybrid data and its application in attribute reduction (Q6497356) (← links)
- Uncertain c-means clustering method with application to imprecise observations (Q6664853) (← links)
