Automatic identification of the number of clusters in hierarchical clustering
Hierarchical clustering is one of the most suitable tools to discover the underlying true
structure of a dataset in the case of unsupervised learning where the ground truth is …
structure of a dataset in the case of unsupervised learning where the ground truth is …
A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies
We introduce a framework for the optimal extraction of flat clusterings from local cuts through
cluster hierarchies. The extraction of a flat clustering from a cluster tree is formulated as an …
cluster hierarchies. The extraction of a flat clustering from a cluster tree is formulated as an …
Fusing different information retrieval systems according to query-topics: a study based on correlation in information retrieval systems and TREC topics
Abstract To evaluate Information Retrieval Systems on their effectiveness, evaluation
programs such as TREC offer a rigorous methodology as well as benchmark collections …
programs such as TREC offer a rigorous methodology as well as benchmark collections …
Unsupervised and supervised learning in cascade for petroleum geology
Cascade of unsupervised and supervised learning algorithms are suitable in all those
problems where there are large unlabelled input datasets and the underlying data structure …
problems where there are large unlabelled input datasets and the underlying data structure …
Integrating clustering and classification techniques: A case study for reservoir facies prediction
The need for integration of different data in the understanding and characterization of
reservoirs is continuously growing in petroleum geology. The large amount of data for each …
reservoirs is continuously growing in petroleum geology. The large amount of data for each …
A modularity-based measure for cluster selection from clustering hierarchies
FAR dos Anjos, JC Gertrudes, J Sander… - Data Mining: 16th …, 2019 - Springer
Extracting a flat solution from a clustering hierarchy, as opposed to deriving it directly from
data using a partitional clustering algorithm, is advantageous as it allows the hierarchical …
data using a partitional clustering algorithm, is advantageous as it allows the hierarchical …
An AI tool for the petroleum industry based on image analysis and hierarchical clustering
In petroleum geology, exploration and production wells are often analyzed using image
logs, because they provide a visual representation of the borehole surface and they are …
logs, because they provide a visual representation of the borehole surface and they are …
Clustering and classification techniques for blind predictions of reservoir facies
The integration of different data in reservoir understanding and characterization is of prime
importance in petroleum geology. The large amount of data for each well and the presence …
importance in petroleum geology. The large amount of data for each well and the presence …
[PDF][PDF] di4g: Uno Strumento di Clustering per l'Analisi Integrata di Dati Geologici.
1 Introduzione di4g (data integrator for geology) è uno strumento sviluppato per l'analisi di
dati geologici, in particolare per la geologia degli idrocarburi. Questa disciplina si occupa di …
dati geologici, in particolare per la geologia degli idrocarburi. Questa disciplina si occupa di …
[PDF][PDF] Novel health monitoring technologies for the ageing society
MLE ZECCHILLO - 2013 - politesi.polimi.it
Il progressivo invecchiamento della popolazione e la necessità di avere un sistema sanitario
sostenibile e all'avanguardia ha portato ad una domanda di dispositivi medici innovativi in …
sostenibile e all'avanguardia ha portato ad una domanda di dispositivi medici innovativi in …