A split–merge clustering algorithm based on the k-nearest neighbor graph
Y Wang, Y Ma, H Huang, B Wang, DP Acharjya - Information Systems, 2023 - Elsevier
Numerous graph-based clustering algorithms relying on k-nearest neighbor (KNN) have
been proposed. However, the performance of these algorithms tends to be affected by many …
been proposed. However, the performance of these algorithms tends to be affected by many …
Efficient Algorithm for K-Multiple-Means
K-Multiple-Means is an extension of K-means for the clustering of multiple means used in
many applications, such as image segmentation, load balancing, and blind-source …
many applications, such as image segmentation, load balancing, and blind-source …
An improved global k-means clustering algorithm
L Wang, X Zhang, H Wang, C Bai - 2021 11th International …, 2021 - ieeexplore.ieee.org
K-means (KM) clustering algorithm is well known for its simplicity and efficiency. However,
the clustering effect is greatly influenced by the selection of initial centers. To solve this …
the clustering effect is greatly influenced by the selection of initial centers. To solve this …
Comparison between Machine Learning Classifier Based On Face Recognition
With face recognition, machine learning is one of the computer sciences fields that is getting
bigger the quickest. The goal of this study is to give a basic overview of machine learning …
bigger the quickest. The goal of this study is to give a basic overview of machine learning …