Random search with k -prototypes algorithm for clustering mixed datasets

Random search with k-prototypes algorithm for clustering mixed datasets

BY DUC-TRUONG PHAM1,2, MARIA M. SUAREZ-ALVAREZ1,* AND YURIY I. PROSTOV3 1Manufacturing Engineering Centre, School of Engineering, Cardiff University, Cardiff CF24 3AA, UK 2Department of Information Systems, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia 3Department of Higher Mathematics, Moscow Institute of Radio Engineering, Electronics and Autom...

An Optimization K-Modes Clustering Algorithm with Elephant Herding Optimization Algorithm for Crime Clustering

The detection and prevention of crime, in the past few decades, required several years of research and analysis. However, today, thanks to smart systems based on data mining techniques, it is possible to detect and prevent crime in a considerably less time. Classification and clustering-based smart techniques can classify and cluster the crime-related samples. The most important factor in the c...

An improved k-prototypes clustering algorithm for mixed numeric and categorical data

Data objects with mixed numeric and categorical attributes are commonly encountered in real world. The k-prototypes algorithm is one of the principal algorithms for clustering this type of data objects. In this paper, we propose an improved k-prototypes algorithm to cluster mixed data. In our method, we first introduce the concept of the distribution centroid for representing the prototype of c...

MK-Prototypes: A Novel Algorithm for Clustering Mixed Type Data

An improved opposition-based Crow Search Algorithm for Data Clustering

Data clustering is an ideal way of working with a huge amount of data and looking for a structure in the dataset. In other words, clustering is the classification of the same data; the similarity among the data in a cluster is maximum and the similarity among the data in the different clusters is minimal. The innovation of this paper is a clustering method based on the Crow Search Algorithm (CS...