Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

503 results for “cluster”
Set a search alert
Research ArticleOpen accessEvery word in the titleS-CPM: Semantic-Similarity Cluster based Privacy Preservation Model with Cell Generalization PrincipleSatish B Basapur, B S Shylaja, VenkateshTimely data analysis on a wide variety and a large volume of data unveil valuable information or new insights. The analysis results could be used to innovate new avenues in health care service, business and e-service, etc. However, releasing, storing and reusing sensitive data to third parties results in breaching the data privacy of the individual. To combat privacy breach … …Journal of Computer Science, Vol. 18, Issue 3 · 17 Mar 2022 · 6,314 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleGeometrical Approach to a New Hybrid Grid-Based Gravitational Clustering AlgorithmFaisal Bin Al Abid, A.N.M. Rezaul Karim, Golam Rahman ChowdhuryIn the past years, several clustering algorithms have been developed, for example, K-means, K-medoid. Most of these algorithms have the common problem of selecting the appropriate number of clusters and these algorithms are sensitive to noisy data and would cause less accurate clustering of the data set. Therefore, this paper introduces a new Hybrid Grid-based Gravitational Clustering Algorithm (HGGCA) geometrically, … …Journal of Computer Science, Vol. 17, Issue 3 · 9 Mar 2021 · 6,783 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleNewcastle Traffic Classification Using Clustering AlgorithmsHamad B Matar, Talal Almutairi, Nayef Z Al-MutairiThe urban road traffic network evolution is complex and varies depend on road type, zoning types and social activities. Typical traffic pattern variation of road network could be examined by considering the daily human travel activities. Thus, factor and cluster analysis is carried out. This paper is a comparative analysis of various Data Mining clustering methods for the grouping of … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 2 · 4 Apr 2020 · 7,214 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImproving Clustering Robustness through Fuzzy Ensemble of K-Means and Mean ShiftLNC. Prakash K., Palamakula Ramesh Babu, Shaik Thaseentaj et al.Ensemble clustering has emerged as a powerful strategy to improve the robustness and accuracy of unsupervised learning, particularly when individual algorithms struggle with noisy, heterogeneous, or high-dimensional data. This study introduces a fuzzy-based ensemble approach that integrates the complementary strengths of K-Means and Mean Shift clustering, followed by fuzzy membership assignment for data points that remain ambiguous. The inclusion of … …Journal of Computer Science, Vol. 22, Issue 5 · 20 May 2026 · 1,257 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIncorporation of Modified Region Growing into FCM Clustering for Extraction of Tumors in MR ImagesLovepreet Singh Brar, Jaget Singh, Bhawana Agrawal et al.Due to the tremendous growth of medical Magnetic Resonance (MR) images, it becomes an essential requirement for an automated extraction of diagnostically salient parts of the images to refine the transmission and storage process. Research method: This paper proposes an automated unsupervised machine learning segmentation technique named fuzzy c-means clustering based on modified region growing algorithm (RG-FCM) for the extraction … …Journal of Computer Science, Vol. 21, Issue 12 · 12 Feb 2026 · 1,477 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCluster Based Architecture for Cognitive Radio NetworkManoj Ramachandran, Harish Sheeranalli Venkatarama, Sandesh HebbarCatastrophic events like flood often result in the derangement of the communication networks. The consequences include difficulty in locating the survivors of the disaster. The purpose of this paper is to give an insight to the design and development of a Cognitive Radio Network that can be used as an immediate remedy communication network which can help in such situations. … …Journal of Computer Science, Vol. 15, Issue 1 · 12 Dec 2018 · 7,711 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Better Approach to Ontology Integration using Clustering Through Global Similarity MeasureAshwin Makwana, Amit GanatraKnowledge representation is a crucial area of work in the intelligent system, especially in query answering system development. Ontology is used to represent shared knowledge of a particular domain for query answering system. Domain-specific ontology can be designed and developed by many groups and researchers, because of which there is heterogeneity in the knowledgebase. Ontology integration or merging is necessary … …Journal of Computer Science, Vol. 14, Issue 6 · 25 Jun 2018 · 8,227 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleInter Cluster Group Management in Wireless Sensor NetworksR. Rohini, Adamu Murtala Zungeru, S. Ravi, Dasari Narasimha RaoWireless Sensor Networks (WSNs), an emerging large-scale network system can be embedded for any application. The designers of wireless sensor network have to consider the quality of service agreements from a user perspective. The WSN is very rapid in dynamic changing topology and has less energy, computing and communication resources. The network design has to fulfill the QoS parameters like … …Journal of Computer Science, Vol. 14, Issue 4 · 19 Apr 2018 · 7,988 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSegmentation of Exudates via Color-based K-means Clustering and Statistical-based ThresholdingAtef Zaki Ghalwash, Aliaa Abdel-Halim Youssif, Ali Mohamed Nabil AllamThis paper provides a novel approach for the problem of detecting the yellowish lesions in the eye fundus images, such as hard and soft exudates, in a fully-automated manner. To solve this problem of segmenting exudates automatically, the fundus image was first converted into the L*a*b* color space to decouple the chromaticity information of the image. Next, the fundus image … …Journal of Computer Science, Vol. 13, Issue 10 · 14 Oct 2017 · 7,725 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Hybrid Clustering Process using a Genetic Fuzzy System for the Knowledge Base of a Fuzzy Rule-Based SystemHamedoun Lamiae, Attariuas Hicham, Ben Maati Mohamed LarbiThe present paper proposes a new Hybrid clustering Process based on Fuzzy Genetic System. The proposed Approach consists of two steps: (1) Using a method called Fuzzy clustering, all data elements will be clustered into N groups; (2) utilizing a Fuzzy Genetic System, for every level the fuzzy rule of adhesion will be generated. If we compare our research to … …Journal of Computer Science, Vol. 12, Issue 12 · 6 Feb 2017 · 6,644 accessesView PDFCite