Impact of metrics on biclustering solution and quality: A review
To understand how subspace clustering algorithms discover distinct bicluster types and how
their effectiveness has been validated, we offer a systematic literature review on available …
their effectiveness has been validated, we offer a systematic literature review on available …
Unsupervised algorithms for microarray sample stratification
The amount of data made available by microarrays gives researchers the opportunity to
delve into the complexity of biological systems. However, the noisy and extremely high …
delve into the complexity of biological systems. However, the noisy and extremely high …
A unified approach for selecting probes and probing stations for fault detection and localization in computer networks
Fault detection and localization is a central element in the management of network failures. It
allows inferring the exact failure of a network from all the observed symptoms. Because …
allows inferring the exact failure of a network from all the observed symptoms. Because …
[PDF][PDF] Scalable clustering of high dimensional data in non-disjoint axis-parallel subspaces.
MT Doan - 2019 - rest.neptune-prod.its.unimelb.edu.au
Scalable clustering of high dimensional data in non-disjoint axis-parallel subspaces Page 1
Scalable clustering of high dimensional data in non-disjoint axis-parallel subspaces Minh Tuan …
Scalable clustering of high dimensional data in non-disjoint axis-parallel subspaces Minh Tuan …