IEEE

Noise Handling Techniques in DBSCAN Clustering for Adult and Child Voice Diarization

Abstract: Speaker recognition technology plays an important role in voice processing and security, especially in authentication and security monitoring. Based on DBSCAN clustering algorithm, this ...
GitHub

Implement K-Medoids Clustering Algorithm

I propose adding an implementation for the K-Medoids clustering algorithm to this repository. K-Medoids is a classic clustering technique, similar to K-Means, but uses actual data points (medoids) as ...
IEEE

Relay-Assisted Wireless Sensor Networks Using KNN-DBSCAN Static Clustering

Abstract: Wireless sensor networks (WSNs) play a vital role in modern applications such as healthcare, smart cities, and environmental monitoring. However, their potential is often limited by energy ...
Frontiers

Optimizing clustering of CDR3 sequences using natural language processing, Word2Vec, and KMeans

1 University of Dallas, Computer Science Department, Irving, TX, United States 2 University of Dallas, Biology Department, Irving, TX, United States T-cell receptor (TCR) sequencing has emerged as a ...