Resources on K Nearest Neighbor
Aside from my tutorial on K nearest Neighbor , there are many good Internet resources discuss about K-Nearest 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
- K-Local 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 : k-NN search algorithm using Locally sensitive hashing
- A Fast Algorithm for Finding k-Nearest Neighbors with Non-metric Dissimilarity by Bin Zhang and Sargur N. Srihari
- An Enhancement of k-Nearest Neighbor Classification Using Genetic Algorithm by Anupam Kumar Nath Syed M. Rahman Akram Salah (PDF)
- K-Nearest 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 k-nearest neighbor algorithm for protein secondary structure prediction by Rajkumar Bondugula, Ognen Duzlevski, and Dong Xu (PDF): application of fuzzy k-nearest neighbor to prediction of protein structure
- Exemplar-based 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/K-Nearest 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
- Voronoi-Based 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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