Suchergebnisse - Evolutionary clustering algorithm star

A novel cluster detection of COVID-19 patients and medical disease conditions using improved evolutionary clustering algorithm star von Hassan, Bryar A., Rashid, Tarik A., Hamarashid, Hozan K.

“… On this presumption, we improved the current evolutionary clustering algorithm star (ECA*), called iECA*, in three manners: (i) utilising the elbow method to find the correct number of clusters …”
Volltext

Formal context reduction in deriving concept hierarchies from corpora using adaptive evolutionary clustering algorithm star von Hassan, Bryar A., Rashid, Tarik A., Mirjalili, Seyedali

“… It is beneficial to automate the process of deriving concept hierarchies from corpora since a manual construction of concept hierarchies is typically a …”
Volltext

Performance evaluation results of evolutionary clustering algorithm star for clustering heterogeneous datasets von Hassan, Bryar A., Rashid, Tarik A., Mirjalili, Seyedali

“… This article presents the data used to evaluate the performance of evolutionary clustering algorithm star (ECA …”
Volltext

Performance evaluation results of evolutionary clustering algorithm star for clustering heterogeneous datasets von Hassan, Bryar A, Rashid, TarikA, Mirjalili, Seyedali

“… This article presents the data used to evaluate the performance of evolutionary clustering algorithm star (ECA …”
Volltext

Formal context reduction in deriving concept hierarchies from corpora using adaptive evolutionary clustering algorithm star von Hassan, Bryar A, Rashid, Tarik A, Mirjalili, Seyedali

“… It is beneficial to automate the process of deriving concept hierarchies from corpora since a manual construction of concept hierarchies is typically a …”
Volltext

A Novel Cluster Detection of COVID-19 Patients and Medical Disease Conditions Using Improved Evolutionary Clustering Algorithm Star von Hassan, Bryar A, Rashid, Tarik A, Hamarashid, Hozan K

“… On this presumption, we improved the current evolutionary clustering algorithm star (ECA*), called iECA*, in three manners: (i) utilising the elbow method to find the correct number of clusters …”
Volltext

From A-to-Z review of clustering validation indices von Hassan, Bryar A., Tayfor, Noor Bahjat, Hassan, Alla A., Ahmed, Aram M., Rashid, Tarik A., Abdalla, Naz N.

“… The outcomes of various clustering algorithms differ as they are susceptible to the intrinsic characteristics of the original dataset, including noise and dimensionality …”
Volltext

From A-to-Z Review of Clustering Validation Indices von Hassan, Bryar A, Noor, Bahjat Tay, Hassan, Alla A, Ahmed, Aram M, Rashid, Tarik A, Abdalla, Naz N

“… The outcomes of various clustering algorithms differ as they are susceptible to the intrinsic characteristics of the original dataset, including noise and dimensionality …”
Volltext

The Destiny of the Open Cluster NGC 6530: Past and Future von Jia, Delong, Yu, Heng, Shao, Zhengyi, Li, Lu

“… Based on Gaia DR3 data, we apply the hierarchical clustering algorithm to the young open cluster NGC 6530 and group its members into five substructures …”
Volltext

Differential Evolution Optimized Fuzzy Logic Controller and D-Star Algorithm for Clustering Routing in WSNs von Zhang, Qi, Li, Huicong, Zhu, Shicheng, Dong, Xiaoshuai

“… ) algorithm for clustering routing in WSNs. First, the differential evolution (DE) algorithm is enhanced by integrating a population initialization method based on the SPM …”
Volltext

Two-Stage Evolutionary Algorithm Based on Subspace Specified Searching for Hyperspectral Endmember Extraction von Lei, Cong, Liu, Rong, Tian, Ye

“… In recent years, the introduction of multiobjective evolutionary algorithms (MOEAs) into the field of endmember extraction …”
Volltext

A Novel Evolutionary Swarm Fuzzy Clustering Approach for Hyperspectral Imagery von Ghamisi, Pedram, Ali, Abder-Rahman, Couceiro, Micael S., Benediktsson, Jon Atli

“… Fuzzy C-means is the most common fuzzy clustering technique, but its concept is based on a local search mechanism and its convergence rate is rather slow, especially considering high-dimensional problems (e.g …”
Volltext

Artificial Intelligence Algorithms for Natural Language Processing and the Semantic Web Ontology Learning von Hassan, Bryar A, Rashid, Tarik A

“… In this thesis, a new evolutionary clustering algorithm star (ECA*) is proposed. Additionally, a number of experiments were conducted to evaluate ECA …”
Volltext

Exoplanet host star classification: multi-objective optimization of incomplete stellar abundance data von Zammit, Miguel A, Borg, Josef, Zarb Adami, Kristian

“… It integrates fuzzy clustering for imputation and ML classification of hosts and comparison stars into an evolutionary multi-objective optimization algorithm …”
Volltext

Clustering stellar pairs to detect extended stellar structures von Sapozhnikov, Sergey, Kovaleva, Dana

“… We describe a method of using DBSCAN clustering algorithm, which is used to group closely-packed-together data points, to a list of preliminary selected pairs of stars, with parameters expected …”
Volltext

Black hole: A new heuristic optimization approach for data clustering von Hatamlou, Abdolreza

“… for them. At each iteration of the black hole algorithm, the best candidate is selected to be the black hole, which then starts pulling other candidates around it, called stars …”
Volltext

A Two-Step Ensemble-based Genetic Algorithm for Land Cover Classification von Cao, Yang, Feng, Wei, Quan, Yinghui, Bao, Wenxing, Dauphin, Gabriel, Song, Yijia, Ren, Aifeng, Xing, Mengdao

“… As an intelligent optimization technology, genetic algorithm (GA) has been successfully applied to various image classification tasks in recent years …”
Volltext

Clustering and pattern search for enhancing particle swarm optimization with Euclidean spatial neighborhood search von Zhao, Xinchao, Lin, Wenqiao, Hao, Junling, Zuo, Xingquan, Yuan, Jianhua

“… There are many well-known particle swarm optimization (PSO) algorithms which consider ring/star/von Neumann et al …”
Volltext

Stars with Photometrically Young Gaia Luminosities Around the Solar System (SPYGLASS). I. Mapping Young Stellar Structures and Their Star Formation Histories von Kerr, Ronan M. P., Rizzuto, Aaron C., Kraus, Adam L., Offner, Stella S. R.

“… × 10 4 candidate young stars within a distance of 333 pc using Gaia DR2. Applying the HDBSCAN clustering algorithm to this sample, we identify 27 top-level groups, nearly half of which have little to no presence in previous literature …”
Volltext

The destiny of open cluster NGC 6530: past and future von Delong Jia, Yu, Heng, Shao, Zhengyi, Lu, Li

“… Based on Gaia DR3 data, we apply the hierarchical clustering algorithm to a young open cluster NGC 6530 and group its members into 5 substructures …”
Volltext