DCγ : Interpretable Granulation of Data through GA-based Double Clustering

2007 ◽  
Author(s):  
C. Mencar ◽  
A. Consiglio ◽  
A.M. Fanelli
Keyword(s):  
Double Clustering

scholarly journals Bibliometric Analysis of Studies on Tumor Organoids

2021 ◽  
Author(s):  
Qiwei Chen ◽  
Yu Zhang ◽  
Kun Li ◽  
Zhikai Zhang ◽  
Ya Wang ◽  
...  
Keyword(s):  
Future Development ◽  
Hot Spots ◽  
High Frequency ◽  
Visual Analysis ◽  
Drug Effects ◽  
Research Field ◽  
The Matrix ◽  
Genetic Mechanisms ◽  
Double Clustering ◽  
High Frequency Words

Abstract Background: Organoid is an artificially grown mass of cells or tissues, which is similar to an organ. It can replicate the complexity of an organ and can be used for gaining a better understanding of diseases. In this study, the hot spots of “organoids” were classified into 6 categories and 10 aspects, and organoids used for studying genetic mechanisms, drug effect, and metabolism of tumors showed the greatest potential for future development.Methods: A total of 1550 articles relevant to organoid in tumor research field were recruited as research samples. High-frequency words and text/co-word matrix were constructed by BICOMB software. gCLUTO software was applied to analyze the matrix by double-clustering and visual analysis subsequently to identify the hotspot in this area.Results: We constructed a text and co-word matrix composed of 21 high-frequency words and 1550 articles and generated a hotspot “peak map” based on double-clustering analysis. The strategic coordinates approach was used to assess the research prospects of each hotspot and the connections between these hotspots.Conclusions: In this study, we classified the hot-spots of “organoid” into 6 categories and 10 aspects. Calculation and analysis revealed that the field of tumor organoid shows a slight trend of polarization, and organoid for studying the genetic mechanisms, drug effects and metabolism of tumor shows the greatest potential for future development.

Double clustering of PTR-ToF-MS data enables the mapping of QTLs related to apple fruit volatilome

2015 ◽  
Vol 197 ◽  
pp. 24-32 ◽  
Author(s):  
Luca Cappellin ◽  
Fabrizio Costa ◽  
Eugenio Aprea ◽  
Emanuela Betta ◽  
Flavia Gasperi ◽  
...  
Keyword(s):  
Apple Fruit ◽  
Double Clustering ◽  
Tof Ms

Determination of Typical Electricity Load Profile by Using Double Clustering of Fuzzy C-Means and Hierarchical Method

2021 ◽  
Author(s):  
N. Anuar ◽  
N. K. K. Baharin ◽  
N. H. M. Nizam ◽  
A. N. Fadzilah ◽  
S. E. M. Nazri ◽  
...  
Keyword(s):  
Load Profile ◽  
Hierarchical Method ◽  
Fuzzy C Means ◽  
Electricity Load ◽  
Double Clustering
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