The emerging convergence of AI-first design principles and environmental consciousness is reshaping how we think about ...

Abstract: An adaptive k-nearest neighbor algorithm (AdaNN) is brought forward in this paper to overcome the limitation of the traditional k-nearest neighbor algorithm (kNN) which usually identifies ...

Malnutrition among children in third-world countries like the Philippines remains a critical issue addressed by the UN’s Zero Hunger goal. Traditional methods such as K-Nearest Neighbor face ...

Abstract: K-nearest neighbor (KNN) algorithm is a simple and widely used classification method in machine learning. This algorithm tries to search every object in the dataset to find the nearest ...

1 Investment Bank Department, Chengdu Agricultural and Commercial Bank, Chengdu, China. 2 School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, China.

EFANNA uses a composite index to carry out ANN search, which includes an approximate kNN graph and a number of tree structures. They can be built by this library as a whole or seperately. You may ...