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68 results for “clustering techniques”
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Research ArticleOpen accessIn the abstractCOMPARATIVE STUDY OF K-MEANS AND K-MEANS++ CLUSTERING ALGORITHMS ON CRIME DOMAINBashar Aubaidan, Masnizah Mohd, Mohammed AlbaredThis study presents the results of an experimental study of two document clustering techniques which are k-means and k-means++. In particular, we compare the two main approaches in crime document clustering. The drawback of k-means is that the user needs to define the centroid point. This becomes more critical when dealing with document clustering because each center point represented by … …Journal of Computer Science, Vol. 10, Issue 7 · 19 Feb 2014 · 7,762 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdvanced Energy Efficient Passive Clustering Mobility in Wireless Sensor NetworksAouad Siham, Maach Abdelillah, El Ganami DrissWireless sensor networks have a wide applicability and increase deployment in the near future. In most of those applications, the network is composed of an important number of nodes deployed in an extensive area in which not all nodes are directly connected and based on clustering techniques. The Clustering can considerably reduce transmission overhead during flooding. In fact, by using … …American Journal of Applied Sciences, Vol. 10, Issue 12 · 24 Oct 2013 · 6,756 accessesView PDFCite
Research ArticleOpen accessIn the abstractAmeliorate Fuzzy C-Means: An Ameliorate Fuzzy C-Means Clustering Algorithm for CT-Lung Image SegmentationJ. Bridget Nirmala, S. GowriEffective and efficient image segmentation acts as a preliminary stage for the computer-aided diagnosis of medical images. For image segmentation, many FCM-based clustering techniques have been proposed. Regrettably, the existing FCM technique does not generate accurate and standardized segmentation results. This is due to the noise present in the image as well as the random initialization of membership values for … …American Journal of Applied Sciences, Vol. 10, Issue 11 · 1 Oct 2013 · 6,819 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimal 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 abstractHybrid of Fuzzy Clustering Neural Network Over NSL Dataset for Intrusion Detection SystemDahlia Asyiqin Ahmad Zainaddin, Zurina Mohd HanapiIntrusion Detection System (IDS) is one of the component that take part in the system defence, to identify abnormal activities happening in the computer system. Nowadays, IDS facing composite demands to defeat modern attack activities from damaging the computer systems. Anomaly-Based IDS examines ongoing traffic, activity, transactions and behavior in order to identify intrusions by detecting anomalies. These technique identifies … …Journal of Computer Science, Vol. 9, Issue 3 · 4 May 2013 · 6,574 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Overview of Research Challenges for Classification of Cardiotocogram DataC. Sundar, M. Chitradevi, G. GeetharamaniCardiotocography (CTG) is a simultaneous recording of Fetal Heart Rate (FHR) and Uterine Contractions (UC). The most common diagnostic techniques to evaluate maternal and fetal well-being during pregnancy and before delivery. By observing the Cardiotocography trace patterns doctors can understand the state of the fetus. There are several signal processing and computer programming based techniques for interpreting a typical Cardiotocography … …Journal of Computer Science, Vol. 9, Issue 2 · 2 Apr 2013 · 7,827 accessesView PDFCite
Research ArticleOpen accessIn the abstractMatching LSI for Scalable Information RetrievalRajagopal Palsonkennedy, T. V. GopalLatent Semantic Indexing (LSI) is one of the well-liked techniques in the information retrieval fields. Different from the traditional information retrieval techniques, LSI is not based on the keyword matching simply. It uses statistics and algebraic computations. Based on Singular Value Decomposition (SVD), the higher dimensional matrix is converted to a lower dimensional approximate matrix, of which the noises could … …Journal of Computer Science, Vol. 8, Issue 12 · 2 Jan 2013 · 6,668 accessesView PDFCite
Research ArticleOpen accessIn the abstractSleeping Cluster based Medium Access Control Layer Routing Protocol for Wireless Sensor NetworksT. Nagamalar, T. R. RangaswamyWireless sensor networks play a vital role in remote area applications, where human intervention is not possible. In a Wireless Sensor Network (WSN) each and every node is strictly an energy as well as bandwidth constrained one. Problem Statement: In a standard WSN, most of the routing techniques, move data from multiple sources to a single fixed base station. Because … …Journal of Computer Science, Vol. 8, Issue 8 · 16 Jul 2012 · 6,686 accessesView PDFCite
Research ArticleOpen accessIn the abstractGC-MS Analysis and PLS-DA Validation of the Trimethyl Silyl-Derivatization TechniquesKamalrul Azlan Azizan, Syarul Nataqain Baharum, Habtom W. Ressom, Normah Mohd. NoorProblem statement: Comparison and validation analysis of the conventional and power-adjusted Microwave-Assisted (MA) techniques of TMS derivatization using Gas Chromatography-Mass Spectrometry (GC-MS) and Multivariate Analysis (MVA) of Partial Least Squares Analysis (PLS-DA). Further improvement of the conventional technique using vigorous shaking was tested and analyzed. Approach: Cross-validation and response permutation test of PLS-DA and S-plot of Orthogonal Partial Least Squares … …American Journal of Applied Sciences, Vol. 9, Issue 7 · 4 Jun 2012 · 10,320 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Based Secure Data Aggregation Technique in Wireless Sensor NetworksD. HevinRajesh, B. ParamasivanProblem statement: Secure data aggregation is a challenging task in wireless sensor network due to the facts like more complexity, greater overhead in the case of cryptographic techniques. These issues need to be overcome using efficient technique. Approach: We propose a fuzzy based secure data aggregation technique which was having 3 phases. In its first phase, it performs clustering and … …Journal of Computer Science, Vol. 8, Issue 6 · 17 Mar 2012 · 7,252 accessesView PDFCite