Hierarchical clustering: Objective functions and algorithms
Hierarchical clustering is a recursive partitioning of a dataset into clusters at an increasingly
finer granularity. Motivated by the fact that most work on hierarchical clustering was based …
finer granularity. Motivated by the fact that most work on hierarchical clustering was based …
[HTML][HTML] Sperm kinematics and morphometric subpopulations analysis with CASA systems: A review
A Valverde, O Castro-Morales… - Revista de Biologia …, 2019 - scielo.sa.cr
La valoración subjetiva de la calidad seminal ha dado paso al uso de las técnicas objetivas
de valoración por medio de la tecnología CASA (computer-assisted semen analysis). Se …
de valoración por medio de la tecnología CASA (computer-assisted semen analysis). Se …
[PDF][PDF] Early defect detection using clustering algorithms
B Bártová, V Bína - Acta Oeconomica Pragensia, 2019 - academia.edu
Product quality is a crucial issue for manufacturing companies, so it is essential to take note
of any emerging product defects. In contrast to the use of traditional methods, the “modern” …
of any emerging product defects. In contrast to the use of traditional methods, the “modern” …
Semantic feature hierarchical clustering algorithm based on improved regional merging strategy
Y yu-feng - Cluster Computing, 2019 - Springer
Hierarchical clustering based on semantic feature thresholds is well applied in data mining.
However, this method uses systematic sampling to select the edge points of the region …
However, this method uses systematic sampling to select the edge points of the region …
[HTML][HTML] Análisis de subpoblaciones cinéticas y morfométricas de espermatozoides con sistemas CASA: revisión
A Valverde, O Castro-Morales… - Revista de Biología …, 2019 - scielo.sa.cr
La valoración subjetiva de la calidad seminal ha dado paso al uso de las técnicas objetivas
de valoración por medio de la tecnología CASA (computer-assisted semen analysis). Se …
de valoración por medio de la tecnología CASA (computer-assisted semen analysis). Se …
Model-based decision support for subjective preference blending
TJ Kellermann - 2019 - scholar.sun.ac.za
Abstract ENGLISH SUMMARY: In a subjective preference blending problem (SPBP), the
objective is to select a most pleasing alternative from a set of alternatives, based on the …
objective is to select a most pleasing alternative from a set of alternatives, based on the …