[图书][B] Data science foundations: Geometry and topology of complex hierarchic systems and big data analytics
F Murtagh - 2017 - taylorfrancis.com
" Data Science Foundations is most welcome and, indeed, a piece of literature that the field
is very much in need of… quite different from most data analytics texts which largely ignore …
is very much in need of… quite different from most data analytics texts which largely ignore …
[PDF][PDF] Clustering through high dimensional data scaling: applications and implementations
F Murtagh, P Contreras - Archives of Data Science, Series A, 2017 - d-nb.info
To analyse very high dimensional data, or large data volumes, we study random projection.
Since hierarchically clustered data can be scaled in one dimension, seriation or …
Since hierarchically clustered data can be scaled in one dimension, seriation or …
Independent Interactive Testing of Interactive Relational Systems
Many ontologies and WordNet type dictionaries have been created with different interactive
tools using specalists semantic knowledge to model complicated relational structures. All …
tools using specalists semantic knowledge to model complicated relational structures. All …
[PDF][PDF] Some structural tests for WordNet with results
This paper proposes some test-patterns (viewed as sub-structures) to evaluate the
hierarchical structure of wordnets. By observing hierarchical structure, both top-down and …
hierarchical structure of wordnets. By observing hierarchical structure, both top-down and …
Direct reading algorithm for hierarchical clustering
F Murtagh, P Contreras - Electronic Notes in Discrete Mathematics, 2016 - Elsevier
Reading the clusters from a data set such that the overall computational complexity is linear
in both data dimensionality and in the number of data elements has been carried out …
in both data dimensionality and in the number of data elements has been carried out …