IEEE

Local Directional Centrality Clustering Based on K-nearest Neighbor Outlier Detection and ...

Abstract: Clustering, as an important prerequisite method in data analysis, can uncover potential information in the data and then proceed to the next step of data analysis and processing. The ...

NITK uses machine learning to predict landslides in Western Ghats

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...
IEEE

Optimizing K-Nearest Neighbor Values Using The Elbow Method

Abstract: Optimizing the K value in the K-Nearest Neighbor (KNN) algorithm is a critical step in enhancing model performance, particularly for tasks related to classification and prediction. The Elbow ...