Clustering Algorithm and Its Application in Data Mining

Abstract

Clustering analysis is one of the main research directions in data mining. At present, it has gone deep into all fields and made good progress. Aiming at the role of clustering analysis in data mining, a clustering analysis algorithm and its application in data mining are proposed. Through literature comparative analysis method, the basic concepts of cluster analysis are expounded in detail, and the classical algorithms in cluster analysis are discussed. The basic realization process of clustering K-means algorithm is analyzed and an example simulation is carried out. The research shows that this algorithm has strong universality and can be applied to most data analysis sites, providing a theoretical basis for timely detection and analysis of large amounts of data.