InvestigationOpen accessIn the keywordsA Conceptualization of Distributed Computation for Machine Learning: The Voting AlgorithmTalal Talib JameelThis paper describes a voting algorithm that can be used to find the most optimal solution to clustering problems in machine learning. As part of the family of algorithms known as Condorcet methods, the voting algorithm is used to choose a particular candidate, even in the absence of a definitive majority. The algorithm proceeds in two steps: Renormalization and reconciliation. … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 1 · 2 Mar 2017 · 7,890 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAdaptive Acceptance Criterion (AAC) Algorithm for Optimization ProblemsAnmar AbuhamdahOptimization methods commonly are designed for solving the optimization problems. Local search algorithms are optimization method, which are good candidate in exploiting the search space. However, most of them need parameter tuning and incapable of escaping from local optima. This work proposes non-parametric Acceptance Criterion (AC) that not relies on user-defined, which motivate to propose an Adaptive Acceptance Criterion (AAC). … …Journal of Computer Science, Vol. 11, Issue 4 · 23 Jul 2015 · 6,969 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA HYBRID FIREFLY ALGORITHM WITH FUZZY-C MEAN ALGORITHM FOR MRI BRAIN SEGMENTATIONMutasem K. AlsmadiImage processing is one of the essential tasks to extract suspicious region and robust features from the Magnetic Resonance Imaging (MRI). A numbers of the segmentation algorithms were developed in order to satisfy and increasing the accuracy of brain tumor detection. In the medical image processing brain image segmentation is considered as a complex and challenging part. Fuzzy c-means is … …American Journal of Applied Sciences, Vol. 11, Issue 9 · 10 Sep 2014 · 8,074 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTWO 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 keywordsCLUSTER BASED DUPLICATE DETECTIONA. Venkatesh Kumar, S. VengataasalamWe propose a clustering technique for entropy based text dis-similarity calculation of de-duplication system. Improve the quality of grouping; in this study we propose a Multi-Level Group Detection (MLGD) algorithm which produces a most accurate group with most closely related object using Alternative Decision Tree (ADT) technique. Our propose a two new algorithm; first one is Multi-Level Group Detection (MLGD) … …Journal of Computer Science, Vol. 9, Issue 11 · 28 Sep 2013 · 7,035 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOptimal Energy Consumption to Extend the Lifetime of Wireless Sensor NetworksN. Thangadurai, R. DhanasekaranRecent advances in Wireless Sensor Networks (WSNs) enable us to develop minimum energy consumption clustering algorithms. The WSNs can be used for various applications like battle field, disaster areas and military applications. The most important issue in WSNs is the limited battery of sensor nodes. When sensor nodes are placed in a field, it is difficult to replace their batteries. … …Journal of Computer Science, Vol. 9, Issue 5 · 27 May 2013 · 6,798 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOptimizing Clusters Alignment for Bilingual Malay-English CorporaRayner Alfred, Chan Chen Jie, Ng Zhen Wei et al.Bilingual corpora, containing the same documents in two different languages, are becoming an essential resource for natural language processing. Clustering bilingual corpora provides us with an insight into the differences between languages when term frequency-based Information Retrieval (IR) tools are used. It also allows one to use the Natural Language Processing (NLP) and IR tools in one language to implement … …Journal of Computer Science, Vol. 8, Issue 12 · 26 Nov 2012 · 7,144 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Efficient Way for Clustering Using Alternative Decision TreeE. Gothai, P. BalasubramanieProblem statement: To Improve the quality of clustering; a Multi-Level Clustering (MLC) algorithm which produces a most accurate cluster with most closely related object using Alternative Decision Tree (ADT) technique is proposed. Approach: Our proposed method combines tree projection and condition for clustering formation and also is capable to produce a customizable cluster for varying kind of data along with … …American Journal of Applied Sciences, Vol. 9, Issue 4 · 13 Feb 2012 · 6,739 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTopology Control Using Efficient Power ManagementS. Karunakaran, P. ThangarajProblem statement: Effective Topology control will improve the performance and the capacity of Mobile Ad-hoc networks by building reliable network structure. Approach: Power level is used as the basis for topology control since it reduces spatial interference while increasing the effective channel capacity and network lifetime. Results: In this study, we design a topology control using efficient power management algorithm … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 6,715 accessesView PDFCite
Research ArticleOpen accessIn the keywordsStrength Pareto Evolutionary Algorithm based Multi-Objective Optimization for Shortest Path Routing Problem in Computer NetworksSubbaraj Potti, Chitra ChinnasamyProblem statement: A new multi-objective approach, Strength Pareto Evolutionary Algorithm (SPEA), is presented in this paper to solve the shortest path routing problem. The routing problem is formulated as a multi-objective mathematical programming problem which attempts to minimize both cost and delay objectives simultaneously. Approach: SPEA handles the shortest path routing problem as a true multi-objective optimization problem with competing … …Journal of Computer Science, Vol. 7, Issue 1 · 16 Dec 2010 · 8,216 accessesView PDFCite