IEEE

Outlier Indicator Based Projection Fuzzy K-Means Clustering for Hyperspectral Image

Abstract: The application of hyperspectral image (HSI) clustering has become widely used in the field of remote sensing. Traditional fuzzy K-means clustering methods often struggle with HSI data due ...
IEEE

Beta k-Means: Accelerating k-Means Using Probabilistic Cluster Filtering

Abstract: Lloyd k-means is a widely used clustering algorithm. The Hamerly and Annulus algorithms are faster versions of the Lloyd k-means, employing the triangle inequality to skip unnecessary ...