𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Data Mining by Means of Binary Representation: A Model for Similarity and Clustering

✍ Scribed by Zippy Erlich; Roy Gelbard; Israel Spiegler


Book ID
110343781
Publisher
Springer US
Year
2002
Tongue
English
Weight
370 KB
Volume
4
Category
Article
ISSN
1387-3326

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Clustering for binary data and mixture m
✍ Nadif, M. ;Govaert, G. πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 101 KB πŸ‘ 3 views

When cluster analysis is based on mixture models, choosing an appropriate model is a difficult problem. Previous studies usually addressed a part of this problem by estimating the number of clusters and assuming the type of model to be known. Various criteria to be minimized have been proposed to me

On the correspondence between population
✍ Andreas I. Sashegyi; K.Stephen Brown; Patrick J. Farrell πŸ“‚ Article πŸ“… 2001 πŸ› Elsevier Science 🌐 English βš– 208 KB

The relationship between marginal (population-averaged) models for cluster-correlated binary data, and a class of cluster-speciΓΏc, logistic-normal random e ects models is discussed. We show that random e ects models can accomplish the same end as a more direct modelling of intra-cluster correlation,