GPU-FS-kNN: A Software Tool for Fast and Scalable kNN Computation Using GPUs
Background The analysis of biological networks has become a major challenge due to the
recent development of high-throughput techniques that are rapidly producing very large data …
recent development of high-throughput techniques that are rapidly producing very large data …
Unveiling clusters of RNA transcript pairs associated with markers of Alzheimer's disease progression
Background One primary goal of transcriptomic studies is identifying gene expression
patterns correlating with disease progression. This is usually achieved by considering …
patterns correlating with disease progression. This is usually achieved by considering …
An information theoretic clustering approach for unveiling authorship affinities in Shakespearean era plays and poems
In this paper we analyse the word frequency profiles of a set of works from the
Shakespearean era to uncover patterns of relationship between them, highlighting the …
Shakespearean era to uncover patterns of relationship between them, highlighting the …
A FPGA-based architecture for automatic hexagonal bolts detection in railway maintenance
G De Ruvo, P De Ruvo, F Marino… - Seventh …, 2005 - ieeexplore.ieee.org
Rail inspection is a very important task in railway maintenance and it is periodically needed
for preventing dangerous situations. Inspection is operated manually by trained human …
for preventing dangerous situations. Inspection is operated manually by trained human …
kNN-Borůvka-GPU: A Fast and Scalable MST Construction from kNN Graphs on GPU
Computation of the minimum spanning tree (MST) is a common task in numerous fields of
research, such as pattern recognition, computer vision, network design (telephone …
research, such as pattern recognition, computer vision, network design (telephone …
[HTML][HTML] Protein Markers for the Identification of Cork Oak Plants Infected with Phytophthora cinnamomi by Applying an (α, β)-k-Feature Set Approach
Cork oak decline in Mediterranean forests is a complex phenomenon, observed with
remarkable frequency in the southern part of the Iberian Peninsula, causing the weakening …
remarkable frequency in the southern part of the Iberian Peninsula, causing the weakening …
kNN-MST-Agglomerative: A fast and scalable graph-based data clustering approach on GPU
Data clustering is a distinctive method for analyzing complex networks in terms of functional
relationships of the comprising elements. A number of graph-based algorithms have been …
relationships of the comprising elements. A number of graph-based algorithms have been …
Pseudo-centroid clustering
F Glover - Soft Computing, 2017 - Springer
Pseudo-centroid clustering replaces the traditional concept of a centroid expressed as a
center of gravity with the notion of a pseudo-centroid (or a coordinate free centroid) which …
center of gravity with the notion of a pseudo-centroid (or a coordinate free centroid) which …
A fast meta-heuristic approach for the -feature set problem
The feature selection problem aims to choose a subset of a given set of features that best
represents the whole in a particular aspect, preserving the original semantics of the …
represents the whole in a particular aspect, preserving the original semantics of the …
Introducing clustering with a focus in marketing and consumer analysis
Clustering has become an extremely popular methodology for consumer analysis with many
business applications. Mainly, when a consumer market needs to be segmented, clustering …
business applications. Mainly, when a consumer market needs to be segmented, clustering …