Work

Toward the Development of the Sand Dune Clustering Algorithm

Year: 2024

Type: conference-paper

Abstract: This paper proposed a new partition-based clustering algorithm inspired by the sand dunes. The proposed algorithm is called the Sand Dune Clustering Algorithm. The algorithm accepts an r x c matrix of data where one of its columns should be identified as the weight. The weight of the column is then utilized to cluster the data points. Based on initial experimentation, the algorithm was able to group the sample points. Furthermore, it was disclosed that the algorithm is relatively fast, running at the order O(rc + r). Thus, it can be concluded that the proposed algorithm is a promising clustering algorithm. Limitations and future work are also discussed.

Source: International Conference on Natural Language Processing and Information Retrieval (NLPIR)

DOI: 10.1145/3711542.3711543

Authors: Rex Bringula, John Vincent Morales

Institutions: University of the East, De La Salle University

Language: English

Topic: Advanced Clustering Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W4409403776

FWCI: 0.294

Cites: 14

Cited by: 1

Related to: 10