PPT-Classification Using K-Nearest Neighbor

Back Ground Prepared By Anand Bhosale Supervised Unsupervised Labeled Data Unlabeled Data X1 X2 Class 10 100 Square 2 4 Root X1 X2 10 100 2 4 Distance Distance Distances. Neighbor. Search with Keywords. Abstract. Conventional spatial queries, such as range search and nearest . neighbor. retrieval, involve only conditions on objects' geometric properties. Today, many modern applications call for novel forms of queries that aim to find objects satisfying both a spatial predicate, and a predicate on their associated texts. For example, instead of considering all the restaurants, a nearest . MA4102 – Data Mining and Neural Networks. Nathan Ifill. ngi1@le.ac.uk. University of Leicester. Image source: . Antti. . Ajanki. , “Example of k-nearest . neighbor. classification”, 28 May 2007. LECTURE 10. Classification. . k-nearest neighbor classifier. . Naïve Bayes. . Logistic Regression. . Support Vector Machines. NEAREST NEIGHBOR CLASSIFICATION. Instance-Based Classifiers. Store the training records . Condensing Techniques. Nearest Neighbor Revisited. Condensing Techniques. Proximity Graphs and Decision Boundaries. Editing Techniques . Organization. Last updated: . Nov. . 7, . 2013. Nearest Neighbour Rule. Jie Bao Chi-Yin Chow Mohamed F. Mokbel. Department of Computer Science and Engineering. University of Minnesota – Twin Cities. Wei-Shinn Ku. Department of Computer Science and Software Engineering. by:. Peter Hirschmann. Diagnosing Methods. Monitor symptoms such as:. Resting Tremor. Bradykinesia. Rigidity. Postural Instability. Sub-symptom. Voice Problems. Use classification teaching algorithms to identify Parkinson’s. Jin . Shieh. and Eamonn Keogh. University of California - Riverside. Important Note. This talk has no equations or code. I am just giving you the intuition and motivation. Full details are in the paper. Nearest Neighbor Classification. Ashifur Rahman. About the Paper. Authors:. Trevor Hastie, . Stanford University. Robert . Tibshirani. , . University of Toronto. Publication:. KDD-1995. IEEE Transactions on Pattern Analysis and Machine Intelligence (1996). Torsional. Potentials Of . Regioregular. Poly (3-methyl . Thiophene. ) . Oligomers. Ram S. . Bhatta. . and David S. Perry. Department of Chemistry. The University of Akron, OH 44325-3601. n. Motivation. Christian Cosgrove. Kelly. Li. Rebecca. Lin. Shree . Nadkarni. Samanvit. . Vijapur. Priscilla. Wong. Yanjun. Yang. Kate Yuan. Daniel Zheng. Drew . University. New . Jersey Governor’s School in the Sciences. Bing . Hu . Yanping. Chen . Eamonn. Keogh. SIAM Data Mining Conference (. SDM. ), 2013. Outline. Motivation. . Proposed Framework. . . - Concepts. . - Algorithms. . Experimental Evaluation. Exact Nearest Neighbor Algorithms Sabermetrics One of the best players ever .310 batting average 3,465 hits 260 home runs 1,311 RBIs 14x All-star 5x World Series winner Who is the next Derek Jeter? Derek Jeter ℓ. p. –spaces (2<p<∞) via . embeddings. Yair. . Bartal. . Lee-Ad Gottlieb Hebrew U. Ariel University. Nearest neighbor search. Problem definition:. Given a set of points S, preprocess S so that the following query can be answered efficiently:. . Bayes. Classifier: Recap. L. P( HILSA | L). P( TUNA | L). P( SHARK | L). Maximum . Aposteriori. (MAP) Rule. Distributions assumed to be of particular family (e.g., Gaussian), and . parameters estimated from training data..