Results 11 to 20 of about 1,519,867 (319)

Cluster Correspondence Analysis [PDF]

open access: yesPsychometrika, 2017
A method is proposed that combines dimension reduction and cluster analysis for categorical data by simultaneously assigning individuals to clusters and optimal scaling values to categories in such a way that a single between variance maximization objective is achieved.
van de Velden, M.   +2 more
openaire   +5 more sources

Clustered regression analysis [PDF]

open access: yesProceedings of the 41st IEEE Conference on Decision and Control, 2002., 2003
Cluster structure in (multicollinear) data can be utilized by pattern recognition methods in order to find adequate subspaces for nonlinear regression. When regressing a particular severely nonlinear function, it is demonstrated that this approach is superior to polynomial PLS.
Lindgren, David, Ljung, Lennart
openaire   +2 more sources

Comparing the impacts of fossil and renewable energy investments in Indonesia: A simple general equilibrium analysis

open access: yesHeliyon, 2020
Increasing electricity capacity to support economic growth has become a national development priority in Indonesia. The construction of a power plant needs to consider not only economic but also social and environmental impacts because the government can
Djoni Hartono   +5 more
doaj   +1 more source

Image Processing Filters for Grids of Cells Analogous to Filters Processing Grids of Pixels

open access: yesFrontiers in Computer Science, 2021
Intra- and extra-cellular processes shape tissues together. For understanding how neighborhood relationships between cells play a role in this process, having image processing filters based on these relationships would be beneficial. Those operations are
Robert Haase , Robert Haase 
doaj   +1 more source

Discriminative cluster analysis [PDF]

open access: yesProceedings of the 23rd international conference on Machine learning - ICML '06, 2006
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of programming and because it accomplishes a good trade-off between achieved performance and computational complexity.
Fernando De la Torre, Takeo Kanade
openaire   +1 more source

Influence of Socioeconomic, Demographics, and Prices Factors on Cooking Fuel Choice of Indonesian Households

open access: yesJurnal Economia, 2023
There are differences in the choice of cooking fuel in Indonesian households. Some households still not yet used clean fuel for daily cooking, even though clean energy is crucial and included in the Sustainable Development Goals (SDGs).
Hadi Prasojo, Djoni Hartono
doaj   +1 more source

Analysis of Agglomerative Clustering [PDF]

open access: yesAlgorithmica, 2012
The diameter $k$-clustering problem is the problem of partitioning a finite subset of $\mathbb{R}^d$ into $k$ subsets called clusters such that the maximum diameter of the clusters is minimized. One early clustering algorithm that computes a hierarchy of approximate solutions to this problem (for all values of $k$) is the agglomerative clustering ...
Marcel R. Ackermann   +3 more
openaire   +6 more sources

The relationship between the built environment and respiratory health: Evidence from a longitudinal study in Indonesia

open access: yesSSM: Population Health, 2022
Multiple studies have discussed the relationship between the built environment and non-infectious diseases, but research involving infectious diseases and the built environment is scarce.
Witri Indriyani   +3 more
doaj   +1 more source

Ultrasound-Responsive Nanobubbles for Combined siRNA-Cerium Oxide Nanoparticle Delivery to Bone Cells

open access: yesPharmaceutics, 2023
This study aims to present an ultrasound-mediated nanobubble (NB)-based gene delivery system that could potentially be applied in the future to treat bone disorders such as osteoporosis.
Pedram Sotoudeh Bagha   +8 more
doaj   +1 more source

Exploratory and Inferential Analysis of Gene Cluster Neighborhood Graphs [PDF]

open access: yes, 2009
Many different cluster methods are frequently used in gene expression data analysis to find groups of co–expressed genes. However, cluster algorithms with the ability to visualize the resulting clusters are usually preferred.
Voglhuber Ingo   +8 more
core   +1 more source

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