nearest neighbor
MKNN: Modified K-Nearest Neighbor
... In this paper, a new algorithm for improving the performance of KNN classifier is proposed which is called Modified K-Nearest Neighbor, MKNN. The proposed method which considerably improves the performance ...
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An Efficient Bayesian Nearest Neighbor Search Using Marginal Object Weight Ranking Scheme in Spatial Databases
... Identifying nearest neighbor object search is a vital part of spatial ...Many nearest neighbor search techniques such as Authenticated Multi-step NN (AMNN), Superseding Nearest ...
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An Improved k-Nearest Neighbor Classification Using Genetic Algorithm
... k-Nearest Neighbor (KNN) is one of the most popular algorithms for pattern ...k-Nearest Neighbor, Genetic Algorithm, Support Vector Machine, Rough ...
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Aplicação do algoritmo k-nearest neighbor para classificação de métodos de controle enzimático em frutas / K-nearest neighbor algorithm application for classification of enzymatic control methods in fruits
... k-Nearest Neighbor (KNN), para classificar e selecionar o melhor ...k-Nearest Neighbor (KNN) mostrou que o tratamento mais satisfatório foi o branqueamento por imersão da maçã para o tempo de ...
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Estimating Stand Height and Tree Density in Pinus taeda plantations using in-situ data, airborne LiDAR and k-Nearest Neighbor Imputation
... Accurate forest inventory is of great economic importance to optimize the entire supply chain management in pulp and paper companies. The aim of this study was to estimate stand dominate and mean heights (HD and HM) and ...
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A Regression-based K nearest neighbor algorithm for gene function prediction from heterogeneous data
... Computational Biology held at Whistler, Canada on December 18th, 2004.. This.[r] ...
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TECHNICAL PAPER QUALITY OF A DIGITAL TERRAIN MODEL FOR SANTA CATARINA STATE
... ABSTRACT: Relief characterization using a digital terrain model (DTM) is widely applied in erosion, soil and vegetation modeling. However, factors, such as acquisition technology and the spatial resolution of the digital ...
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Hierarchical genetic clusters for phenotypic analysis
... furthest neighbor method, the nearest neighbor method, Ward’s method, and the median ...The nearest neighbor method was the most efficient in reconstructing the system of backcrossing, ...
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Braz. J. Phys. vol.33 número3
... In [26], a ten-parameter family of one-species reaction- diffusion processes with nearest-neighbor interaction was introduced, for which the evolution equation of n-point functions contains only n- or less- ...
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Modeling of stem form and volume through machine learning
... Regarding the models ranking, as well as in the estimation of the volume as function of dap and height, it is evident that even though cross validation has been applied in the training of AI models, these models may not ...
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REM, Int. Eng. J. vol.70 número3
... or nearest neighbor), or geostatistical ones that can follow two treatments: (i) a deterministic model that estimates the category in each location; and (ii) a model that gives the probability of each ...
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Research on Personalized Recommendation in E-commerce Service based on Data Mining
... data, nearest-neighbor collaborative filtering performs not so well, as the calculation of similarity between user or item pairs is costly and the accuracy of similarity can be easily affected by noise and ...
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Knearest neighbors queries in timedependent road networks: analyzing scenarios where points of interest move to the query point
... In (DEMIRYUREK et al., 2010a), a pre-computation process that builds two different indexing structures, the Tight Network Index (TNI) and Loose Network Index (LNI) was proposed. Both are composed for cells that reference ...
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The Importance of Feature Selection in Classification
... backpropagation, nearest neighbor classifiers can also be used for prediction, that is to return a real-value prediction for a given unknown ...k nearest neighbors of the unknown ...
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Braz. J. Phys. vol.38 número3B
... We obtain through a Matrix Product Ansatz the exact solution of the most general inhomogeneous spin chain with nearest neighbor interaction and with U (1) 2 and U (1) 3 symmetries.. Thes[r] ...
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J. Aerosp. Technol. Manag. vol.8 número3
... ABSTRACT: The main goal of the Libertad 2 mission is to take images of the Earth’s surface in the visible spectrum with a multispectral sensor and send them as a Bayer array. To carry out the reconstruction in land of ...
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Performance of young children on ''traveling salesperson'' navigation tasks presented on a touch screen.
... the nearest goal as the initial goal to ...the nearest-neighbor strategy, or the rule to select the next nearest point at each given ...
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Performance Evolution of Various Wavelets in Cervical Lesion Detection
... Cervical cancer is one of most common cancers among women in the world caused by human papilloma virus infection. It develops in the tissue of cervix which connects upper body of the uterus to the vagina. The types of ...
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Imbalanced multi-modal multi-label learning for subcellular localization prediction of human proteins with both single and multiple sites.
... a nearest neighbor algorithm for predicting the subcellular locations of proteins with multiple sites in budding ...k- nearest neighbor classifier, two algorithms called Euk-mPLoc [44] and ...
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HITS: A History-Based Intelligent Transportation System
... With the tremendous increase in the availability of location information, and the continuous and rapid advances in positioning systems (specially Global Positioning Systems (GPSs)), moving object databases MOD were ...
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