kw.\*:("k-Nearest neighbour")
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A hybrid intelligent data classification algorithmXUESONG YAN; WENJING LUO; QINGHUA WU et al.International journal of wireless and mobile computing (Print). 2013, Vol 6, Num 6, pp 573-580, issn 1741-1084, 8 p.Article
Texture and moments-based classification of the acrosome integrity of boar spermatozoa imagesALEGRE, Enrique; GONZALEZ-CASTRO, Victor; ALAIZ-RODRIGUEZ, Rocío et al.Computer methods and programs in biomedicine (Print). 2012, Vol 108, Num 2, pp 873-881, issn 0169-2607, 9 p.Article
Multi-SNP pharmacogenomic classifier is superior to single-SNP models for predicting drug outcome in complex diseasesPETROVSKI, Slavé; SZOEKE, Cassandra E; SHEFFIELD, Leslie J et al.Pharmacogenetics and genomics (Print). 2009, Vol 19, Num 2, pp 147-152, issn 1744-6872, 6 p.Article
Noise smoothing by a fast K-nearest neighbour algorithmMITCHELL, H. B; MASHKIT, N.Signal processing. Image communication. 1992, Vol 4, Num 3, pp 227-232, issn 0923-5965Article
LiNearN: A new approach to nearest neighbour density estimatorWELLS, Jonathan R; KAI MING TING; WASHIO, Takashi et al.Pattern recognition. 2014, Vol 47, Num 8, pp 2702-2720, issn 0031-3203, 19 p.Article
Instance-based learning compared to other data-driven methods in hydrological forecastingSOLOMATINE, Dimitri P; MASKEY, Mahesh; LAL SHRESTHA, Durga et al.Hydrological processes. 2008, Vol 22, Num 2, pp 275-287, issn 0885-6087, 13 p.Article
Induction motor fault diagnosis based on the κ-NN and optimal feature selectionNGUYEN, Ngoc-Tu; LEE, Hong-Hee.International journal of electronics. 2010, Vol 97, Num 9-10, pp 1071-1081, issn 0020-7217, 11 p.Article
Conditional resampling of hydrologic time series using multiple predictor variables : A K-nearest neighbour approachMEHROTRA, R; SHARMA, Ashish.Advances in water resources. 2006, Vol 29, Num 7, pp 987-999, issn 0309-1708, 13 p.Article
Fast κ-NN classification for multichannel image dataWARFIELD, S.Pattern recognition letters. 1996, Vol 17, Num 7, pp 713-722, issn 0167-8655, 9 p.Article
COMBINING MULTIPLE MACHINE LEARNING ALGORITHMS TO PREDICT TAXA UNDER REFERENCE CONDITIONS FOR STREAMS BIOASSESSMENTFEIO, M. J; VIANA-FERREIRA, C; COSTA, C et al.River research and applications (Print). 2014, Vol 30, Num 9, pp 1157-1165, issn 1535-1459, 9 p.Article
Validation of a multigenic model to predict seizure control in newly treated epilepsySHAZADI, Kanvel; PETROVSKI, Slavé; SILLS, Graeme J et al.Epilepsy research. 2014, Vol 108, Num 10, pp 1797-1805, issn 0920-1211, 9 p.Article
Parasite detection and identification for automated thin blood film malaria diagnosisBORAY TEK, F; DEMPSTER, Andrew G; KALE, Izzet et al.Computer vision and image understanding (Print). 2010, Vol 114, Num 1, pp 21-32, issn 1077-3142, 12 p.Article
Likelihood inference in nearest-neighbour classification modelsHOLMES, Christopher C; ADAMS, Niall M.Biometrika. 2003, Vol 90, Num 1, pp 99-112, issn 0006-3444, 14 p.Article
An empirical analysis of the probabilistic K-nearest neighbour classifierMANOCHA, S; GIROLAMI, M. A.Pattern recognition letters. 2007, Vol 28, Num 13, pp 1818-1824, issn 0167-8655, 7 p.Article
Cluster analysis on time series gene expression dataKUO, Huang-Cheng; LEE, Tsung-Lung; HUANG, Jen-Peng et al.International journal of business intelligence and data mining (Print). 2010, Vol 5, Num 1, pp 56-76, issn 1743-8187, 21 p.Conference Paper
Algorithm for finding all k-nearest neighbours in three-dimensional scattered points and its application in reverse engineeringLI, X; CRIPPS, R. J.Proceedings of the Institution of Mechanical Engineers. Part B. Journal of engineering manufacture. 2007, Vol 221, Num 9, pp 1467-1472, issn 0954-4054, 6 p.Article
Imputation of missing values for semi-supervised data using the proximity in random forestsISHIOKA, Tsunenori.International journal of business intelligence and data mining (Print). 2013, Vol 8, Num 2, pp 155-166, issn 1743-8187, 12 p.Article
Bus arrival time prediction at bus stop with multiple routesBIN YU; LAM, William H. K; LAM TAM, Mei et al.Transportation research. Part C, Emerging technologies. 2011, Vol 19, Num 6, pp 1157-1170, issn 0968-090X, 14 p.Article
Determination of C22:5 and C22:6 marine fatty acids in pork fat with Fourier transform mid-infrared spectroscopyFLATTEN, Audun; BRYHNI, Eli A; KOHLER, Achim et al.Meat science. 2005, Vol 69, Num 3, pp 433-440, issn 0309-1740, 8 p.Article
Short-term prediction of traffic flow using a binary neural networkHODGE, Victoria J; KRISHNAN, Rajesh; AUSTIN, Jim et al.Neural computing & applications (Print). 2014, Vol 25, Num 7-8, pp 1639-1655, issn 0941-0643, 17 p.Article
An experimental evaluation of novelty detection methodsXUEMEI DING; YUHUA LI; BELATRECHE, Ammar et al.Neurocomputing (Amsterdam). 2014, Vol 135, pp 313-327, issn 0925-2312, 15 p.Article
Using k-nn and discriminant analyses to classify rain forest types in a Landsat TM image over northern Costa RicaTHESSLER, Sirpa; SESNIE, Steven; RAMOS BENDAFIA, Zayra S et al.Remote sensing of environment. 2008, Vol 112, Num 5, pp 2485-2494, issn 0034-4257, 10 p.Article
Clustering of acoustic emission signals collected during tensile tests on unidirectional glass/polyester composite using supervised and unsupervised classifiersGODIN, N; HUGUET, S; GAERTNER, R et al.NDT & E international. 2004, Vol 37, Num 4, pp 253-264, issn 0963-8695, 12 p.Article