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48 articles for “High Dimensional Data”
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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 · 7,544 accessesView PDFCite
Research ArticleOpen accessIn the abstractExperimental Study of Flow Structures of Circular Pulsating Air JetRozli Zulkifli, Kamaruzzaman Sopian, Shahrir Abdullah, Mohd Sobri TakriffProblem Statement: Applications of impingement jets in industry for heating and cooling purposes requires a high convective heat transfer coefficient. Numerous studies have been conducted to improve the convective heat transfer coefficient for a steady impinging jet. A pulsating jet has a very high potential in replacing steady jet after it been found able to increase the heat transfer coefficients … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 1 · 31 Mar 2009 · 7,782 accessesView PDFCite
Research ArticleOpen accessIn the abstractFace Recognition Based on Nonlinear Feature ApproachEimad E.A. Abusham, Andrew T.B. Jin, Wong E. Kiong, G. DebashisFeature extraction techniques are widely used to reduce the complexity high dimensional data. Nonlinear feature extraction via Locally Linear Embedding (LLE) has attracted much attention due to their high performance. In this paper, we proposed a novel approach for face recognition to address the challenging task of recognition using integration of nonlinear dimensional reduction Locally Linear Embedding integrated with Local … …American Journal of Applied Sciences, Vol. 5, Issue 5 · 31 May 2008 · 6,523 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison and Parametric Study of Flameless Oxidation in a Gas Turbine Using Two Kinetics MechanismsMohamed Hamdi, Hmaïed Benticha, Mohamed SassiThe so-called "Flameless Oxidation" is a novel combustion mode, in which combustion products are re-circulated and mixed into the fresh incoming fuel and air streams. This reduces the concentration of the reactants and thereby reducing the reaction rate through avoiding the formation of sharp high temperature zones in the combustion chamber. Flameless combustion has been acknowledged as one of the … …American Journal of Environmental Sciences, Vol. 4, Issue 5 · 31 Oct 2008 · 6,957 accessesView PDFCite
Research ArticleOpen accessIn the abstractValidation of Global Financial Crisis on Bursa Malaysia Stocks Market Companies via Covariance StructureShamshuritawati Sharif, Suzilah Ismail, Zurni Omar, Low Huey ThengThe global financial crisis of 2007 to 2009 affects the economic development around the world. It started with US in 2007 and followed by Malaysia in 2008. The purpose of this study is to validate the impact before and beginning of the crisis on seventy seven Bursa Malaysia stocks market companies. Two data sets of 2007 and 2008 were used … …American Journal of Applied Sciences, Vol. 13, Issue 11 · 27 Oct 2016 · 7,576 accessesView PDFCite
Research ArticleOpen accessIn the abstractGene Selection and Classification in Microarray Datasets using a Hybrid Approach of PCC-BPSO/GA with Multi ClassifiersShilan S. Hameed, Fahmi F. Muhammad, Rohayanti Hassan, Faisal SaeedIn this study, a three-phase hybrid approach is proposed for the selection and classification of high dimensional microarray data. The method uses Pearson’s Correlation Coefficient (PCC) in combination with Binary Particle Swarm Optimization (BPSO) or Genetic Algorithm (GA) along with various classifiers, thereby forming a PCC-BPSO/GA-multi classifiers approach. As such, five various classifiers are employed in the final stage of … …Journal of Computer Science, Vol. 14, Issue 6 · 26 Jun 2018 · 9,360 accessesView PDFCite
Research ArticleOpen accessIn the abstractBoosting Kernel Discriminative Common Vectors for Face RecognitionC. Lakshmi, M. PonnavaikkoProblem statement: Kernel discriminative common vector (KDCV) was one of the most effective non-linear techniques for feature extraction from high dimensional data including images and text data. Approach: This study presented a new algorithm called Boosting Kernel Discriminative Common Vector (BKDCV) to further improve the overall performance of KDCV by integrating the boosting and KDCV techniques. Results: In BKDCV, the … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 6,579 accessesView PDFCite
Research ArticleOpen accessIn the abstractExperimental Study of Near Wake Flow Behind a Rectangular CylinderAbdollah Shadaram, Mahdi Azimi Fard, Noorallah RostamyThe turbulence characteristics of the near wake flow behind a rectangular cylinder is investigated in a two-dimensional analysis using a hot-wire anemometer. The time-averaged and fluctuating components of the velocity are measured for a cylinder having various width-to-height (b h-1) ratios. The measurements are carried out in a low-speed wind tunnel. Data from hot-wire anemometer is collected by a data … …American Journal of Applied Sciences, Vol. 5, Issue 8 · 31 Aug 2008 · 7,274 accessesView PDFCite
Research ArticleOpen accessIn the abstractHomology Modeling of Buffalo (Bubalus bubalis) Interferon-Tau ProteinIndu Joshi, Sunil Kumar, Arminder Kaur et al.Interferon-Tau (IFNt) contributes towards maternal recognition of pregnancy in ruminants (like, cattle, buffalo, goat, giraffe). IFNt has been extensively studied in most of the ruminants except for buffalo Bubalus bubalis). The present study has been undertaken to predict the secondary structure of Interferon-tau in buffalo. The available amino acid sequence of bubaline IFNt (sequence database of SwissProt) was subjected to … …Current Research in Bioinformatics, Vol. 2, Issue 1 · 2 Jan 2018 · 7,526 accessesView PDFCite
Research ArticleOpen accessIn the abstractON THE RELIABILITY OF REYNOLDS-AVERAGED NAVIER STOKES PREDICTION OF MEAN FLOW CHARACTERISTICS OF A RECTANGULAR TURBULENT JET IN CROSSFLOWE. Khali, Y. F. YaoA jet of fluid discharging into a cross stream, also known as Jet In Crossflow (JICF), has received many experimental and numerical investigations. In addition to the fundamental understanding of three-dimensional mixing and shear flow characteristics, the fluid dynamics research community often regarded it as a benchmark test case for validating turbulence models. Although many authors considered the canonical case … …American Journal of Applied Sciences, Vol. 11, Issue 9 · 30 Sep 2014 · 6,960 accessesView PDFCite