The following pages link to (Q4677808):
Displaying 20 items.
- Categorical data clustering with automatic selection of cluster number (Q382464) (← links)
- DHCC: divisive hierarchical clustering of categorical data (Q408684) (← links)
- On the quality of \(k\)-means clustering based on grouped data (Q840740) (← links)
- A clustering algorithm for mixed numeric and categorical data (Q1433537) (← links)
- Cluster validity functions for categorical data: a solution-space perspective (Q1715908) (← links)
- An extension of the \(K\)-means algorithm to clustering skewed data (Q1729355) (← links)
- A \(k\)-populations algorithm for clustering categorical data (Q1779750) (← links)
- An equi-biased \(k\)-prototypes algorithm for clustering mixed-type data (Q1789116) (← links)
- Clustering categorical data sets using tabu search techniques (Q1856701) (← links)
- \(k\)-Mnv-Rep: a \(k\)-type clustering algorithm for matrix-object data (Q2053852) (← links)
- The fuzzy C-means algorithm with fuzzy P-mode prototypes for clustering objects having mixed features (Q2269173) (← links)
- Comparison of similarity measures for categorical data in hierarchical clustering (Q2283313) (← links)
- A fast k-prototypes algorithm using partial distance computation (Q2333494) (← links)
- A k-Means-Like Algorithm for Clustering Categorical Data Using an Information Theoretic-Based Dissimilarity Measure (Q2807075) (← links)
- \(K\)-prototypes based clustering algorithm for data mixed with numeric and categorical values (Q2911358) (← links)
- A clustering algorithm for categorical variables based on connected components (Q3193671) (← links)
- (Q3576127) (← links)
- Artificial Intelligence and Soft Computing - ICAISC 2004 (Q4666258) (← links)
- (Q5165971) (← links)
- Clustering mixed numerical and categorical data with missing values (Q6092070) (← links)
