Pages that link to "Item:Q484231"
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The following pages link to Fitting semiparametric clustering models to dissimilarity data (Q484231):
Displaying 15 items.
- A semiparametric method for clustering mixed data (Q139715) (← links)
- Structural classification analysis of three-way dissimilarity data (Q265307) (← links)
- Classification of asymmetric proximity data (Q269175) (← links)
- A model for clustering data from heterogeneous dissimilarities (Q323236) (← links)
- Statistical modeling of dissimilarity increments for \(d\)-dimensional data: application in partitional clustering (Q437475) (← links)
- Encoding dissimilarity data for statistical model building (Q993793) (← links)
- Smoothing dissimilarities to cluster binary data (Q1023825) (← links)
- Partial dissimilarities with application to clustering (Q1344863) (← links)
- SMILE: a novel dissimilarity-based procedure for detecting sparse-specific profiles in sparse contingency tables (Q1659192) (← links)
- On the behaviour of \(K\)-means clustering of a dissimilarity matrix by means of full multidimensional scaling (Q2066591) (← links)
- Clustering via finite nonparametric ICA mixture models (Q2418084) (← links)
- Hierarchical means clustering (Q2680186) (← links)
- Dissimilarity data in statistical model building and machine learning (Q2900324) (← links)
- Clustering in ordered dissimilarity data (Q3626957) (← links)
- Parsimonious consensus hierarchies, partitions and fuzzy partitioning of a set of hierarchies (Q6570340) (← links)
