Results 61 to 70 of about 346,399 (298)
Clustering Methods for Electricity Consumers: An Empirical Study in Hvaler-Norway [PDF]
, 2016 The development of Smart Grid in Norway in specific and Europe/US in general will shortly lead to the availability of massive amount of fine-grained spatio-temporal consumption data from domestic households.
Dang-Ha, The-Hien +2 more
core +2 more sources
Partitioning Relational Matrices of Similarities or Dissimilarities using the Value of Information
, 2017 In this paper, we provide an approach to clustering relational matrices whose entries correspond to either similarities or dissimilarities between objects.
Principe, Jose C., Sledge, Isaac J.
core +1 more source
A new fuzzy set merging technique using inclusion-based fuzzy clustering [PDF]
, 2008 This paper proposes a new method of merging parameterized fuzzy sets based on clustering in the parameters space, taking into account the degree of inclusion of each fuzzy set in the cluster prototypes.
Kaymak, U, Nefti-Meziani, S, Oussalah, M
core +2 more sources
Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma
Molecular Oncology, EarlyView.Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra +6 more
wiley +1 more source
Naked cuticle is essential for Drosophila wing development beyond Wingless signaling
FEBS Open Bio, EarlyView.Naked cuticle (Nkd), a Wnt signaling inhibitor, assumes extensive roles in Drosophila wing development. Overexpressing Nkd causes smaller, crumpled wings, while also perturbing multiple signaling pathways and developmental genes. A specific region (R1S) is critical for Nkd's function as a signaling integrator, offering new insights for studying its ...
Rui Wang, Ping Wang
wiley +1 more source
A New Internal Validity Index for Fuzzy
IEEE AccessFuzzy c-Means (FCM) is a popular clustering algorithm that can partition a set of objects into groups such that objects within a group are similar to each other and dissimilar to those in other groups.
Khairul Nurmazianna Ismail +2 more
doaj +1 more source
FEBS Open Bio, EarlyView.KHS‐Cnd peptide is able to impair biofilm formation and disaggregate mature biofilms in Acinetobacter baumannii clinical isolates. Differences in extracellular metabolites reflect changes in biofilm metabolism due to KHS‐Cnd treatment. Among the differentially represented extracellular metabolites upon KHS‐Cnd treatment, the significantly altered ...
Fernando Porcelli +9 more
wiley +1 more source
Cluster validity index based on Jeffrey divergence [PDF]
Pattern Analysis and Applications, 2015 Cluster validity indexes are very important tools designed for two purposes: comparing the performance of clustering algorithms and determining the number of clusters that best fits the data. These indexes are in general constructed by combining a measure of compactness and a measure of separation. A classical measure of compactness is the variance. As
Said, Ahmed Ben +2 more
openaire +5 more sources
FEBS Open Bio, EarlyView.Chemoresistance in bladder cancer: Macrophage recruitment associated with CXCL1, CXCL5 and CXCL8 expression is characteristic of Gemcitabine/Cisplatin (Gem/Cis) Non‐Responder tumors (right side) while Responder tumors did not show substantial tumor‐stromal crosstalk (left side). All biological icons are attributed to Bioicons: carcinoma, cancerous‐cell‐
Sophie Leypold +11 more
wiley +1 more source
MPV: a density-peak-based method for automated cluster number detection [PDF]
PeerJ Computer ScienceUnsupervised clustering algorithms have been extensively applied in various research fields. In cluster analysis, determining the best cluster number k is significant.
Zhenzhen He, Xinyu Zhang
doaj +2 more sources