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146 results for “Clusters”
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Research ArticleOpen accessIn the abstractTWO PHASE CLUSTERING METHOD FOR LEACH PROTOCOL FOR EFFECTIVE CLUSTER HEAD SELECTIONRathi, ViswanathanA Wireless Sensor Networks (WSN) comprise of a huge quantity of clusters of sensor nodes that can inter communicate with all nodes and with the base station through a wireless link. All clusters are corresponding to a cluster head to provide a direct communication to the base station and in addition with other cluster heads. Obviously well-organized selection of cluster … …Journal of Computer Science, Vol. 10, Issue 3 · 21 Nov 2013 · 7,122 accessesView PDFCite
Research ArticleOpen accessIn the abstractDiscrimination Capacity of RAPD, ISSR and SSR Markers and of their Effectiveness in Establishing Genetic Relationship and Diversity among Egyptian and Saudi Wheat CultivarsSalah El-Din El-Assal, Ahmed GaberProblem statement: Yield crop cultivars and landraces are valuable sources of genetic variations that the knowledge and implication of these variations are critical in the plant breeding programs. our major objective of this study is investigating the discriminating capacity of RAPD, ISSR and SSR markers and of their effectiveness in establishing genetic relationship and diversity among Egyptian and Saudi wheat … …American Journal of Applied Sciences, Vol. 9, Issue 5 · 9 Mar 2012 · 7,768 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Modeled K-Cluster Quality Mining of Hidden Knowledge for Decision SupportS. Parkash Kumar, K. S. RamaswamiProblem statement: The work presented Fuzzy Modeled K-means Cluster Quality Mining of hidden knowledge for Decision Support. Based on the number of clusters, number of objects in each cluster and its cohesiveness, precision and recall values, the cluster quality metrics is measured. The fuzzy k-means is adapted approach by using heuristic method which iterates the cluster to form an efficient … …Journal of Computer Science, Vol. 7, Issue 11 · 24 Aug 2011 · 6,671 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Integrated Framework for Mixed Data Clustering Using Self Organizing MapHari Prasad Devaraj, M. PunithavalliProblem statement: Clustering plays an important role in data mining of large data and helps in analysis. This develops a vast importance in research field for providing better clustering technique. There are several techniques exists for clustering the similar kind of data. But only very few techniques exists for clustering mixed data items. This leads to the requirement of better … …Journal of Computer Science, Vol. 7, Issue 11 · 18 Aug 2011 · 7,304 accessesView PDFCite
Research ArticleOpen accessIn the abstractWavelet Analysis and Orthogonal Moments based Classification of Microcalcification in Digital MammogramsN. V.S. Sree Rathna Lakshmi, C. ManoharanProblem statement: An important early sign of breast cancer is the clusters of micro calcifications in digital mammograms. To assist radiologists in the diagnosis of mammographic clusters a novel hybrid algorithm has been developed. Approach: A method, for detecting micro calcification in mammograms based on combined feature set with Ant Colony Optimization (ACO) was proposed. The diagonal matrix ‘S’ obtained … …Journal of Computer Science, Vol. 7, Issue 10 · 6 Aug 2011 · 6,558 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Unified K-Means Clustering Technique for Microarray Gene Expression DataP. Valarmathie, K. Dinakaran, T. RavichandranProblem statement: Using microarray techniques one could monitor the expressions levels of thousands of genes simultaneously. One challenge was how to derive meaningful insights into expressed data. This might be carried out by clustering techniques such as hierarchical and k-means, but most of the clustering techniques were largely heuristic in nature and are associated with some unresolved issues like how … …Journal of Computer Science, Vol. 7, Issue 7 · 28 Jun 2011 · 6,912 accessesView PDFCite
Research ArticleOpen accessIn the abstractGenomic Distance between Thymidylate Synthase and Dihydrofolate Reductase Genes Does Not Correlate With Phylogenetic Evolution in BacteriaVitor Hugo MoreauProblem statement: Dihydrofolate Reductase (DHFR) and Thymidylate Synthase (TS) exist as bifunctional enzymes coded into unique polypeptide chain in protozoans. Bifunctional DHFR-TS is associated with an increase in the enzymatic activity by channeling the substrate between the active sites. In some bacteria, DHFR and TS genes are neighbors in the genome, whereas in others, they are located millions of base … …American Journal of Biochemistry and Biotechnology, Vol. 6, Issue 1 · 31 Mar 2010 · 8,188 accessesView PDFCite
Research ArticleOpen accessIn the abstractSingle Pass Seed Selection Algorithm for k-MeansK. Karteeka Pavan, Allam Appa Rao, A.V. Dattatreya Rao, G. R. SridharProblem statement: The k-means method is one of the most widely used clustering techniques for various applications. However, the k-means often converges to local optimum and the result depends on the initial seeds. Inappropriate choice of initial seeds may yield poor results. k-means++ is a way of initializing k-means by choosing initial seeds with specific probabilities. Due to the random … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Jan 2010 · 7,541 accessesView PDFCite
Research ArticleOpen accessIn the abstractDistributed Real Time Architecture for Data Placement in Wireless Sensor NetworksSanjeev Gupta, Mayank DaveProblem statement: Application scenarios of Wireless Sensor Networks (WSN) create interesting design challenges since the sensor nodes used to collect and communicate data may fail suddenly and unpredictably. The issue of real-time and reliable data delivery is extremely important for taking effective decisions in WSN. Approach: In this study we proposed architecture for reliable and real-time approach for data placement … …Journal of Computer Science, Vol. 5, Issue 12 · 31 Dec 2009 · 6,633 accessesView PDFCite
Research ArticleOpen accessIn the abstractMolecular Characterization of Fusarium Oxysporum F. Sp. Cubense of BananaS. K. Leong, Z. Latiffah, S. BaharuddinProblem statement: Morphological characterization of Fusarium species which emphasize on microscopic and cultural characteristics are not sufficient to characterize Fusarium Oxysporum F. sp. Cubense (FOC) from banana as these characteristics could easily influence by environmental factors. As an alternative molecular methods were used to characterize and to assess genetic variation of FOC from different banana cultivars. Knowledge on the genetic … …American Journal of Applied Sciences, Vol. 6, Issue 7 · 31 Jul 2009 · 9,267 accessesView PDFCite