Resources on K Nearest Neighbor
Aside from my tutorial on K nearest Neighbor , there are many good Internet resources discuss about KNearest Neighbor (KNN) algorithm. Below I selected a few good list that you may consider to probe further. I welcome any feedback and input about other good resources that you want to include in this list; please tell me about it.
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Softwares/Codes
 BioPython contain KNN code in Python
 ANN  Approximate Nearest Neighbor Searching contain C++ code (under GNU) academic use)
Other Tutorials
Downloadable Technical Papers
 KLocal Hyperplane and Convex Distance Nearest Neighbor Algorithm s by Pascal Vincent and Yoshua Bengio: Compare K nearest neighbor with Vector Support Machine (SVM)
 An Investigation of Practical Approximate Nearest Neighbor Algorithms by Ting Liu, Andrew W. Moore, Alexander Gray and Ke Yang : kNN search algorithm using Locally sensitive hashing
 A Fast Algorithm for Finding kNearest Neighbors with Nonmetric Dissimilarity by Bin Zhang and Sargur N. Srihari
 An Enhancement of kNearest Neighbor Classification Using Genetic Algorithm by Anupam Kumar Nath Syed M. Rahman Akram Salah (PDF)
 KNearest Neighbor Search for Moving Query Point by Zhexuan Song and Nick Roussopoulos (PDF)
Applications
 Chinese text categorization using K nearest neighbor (PDF) by Li Baoli, Yu Shiwen, and Lu Qin
 Profiles and fuzzy knearest neighbor algorithm for protein secondary structure prediction by Rajkumar Bondugula, Ognen Duzlevski, and Dong Xu (PDF): application of fuzzy knearest neighbor to prediction of protein structure
 Exemplarbased learning in adaptive optical music recognition system by Ichiro Fujinaga (PDF): Using K nearest Neighbor and Genetic Algorithm to recognize music
 Application of Genetic Algorithm/KNearest Neighbor Method to the Classification of Renal Cell Carcinoma by Dongqing Liu et al : Using K nearest neighbor and GA to classify tumor cell s
 VoronoiBased K Nearest Neighbor Search for Spatial Network Databases by Mohammad Kolahdouzan and Cyrus Shahabi (PDF): K nearest neighbor for spatial analysis
Books and References of this tutorial
 Mitchell, Tom M. Machine Learning , Mc Graw Hill
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