Finding compact and well-separated clusters: Clustering using silhouette coefficients
Finding compact and well-separated clusters in data sets is a challenging task. Most
clustering algorithms try to minimize certain clustering objective functions. These functions …
clustering algorithms try to minimize certain clustering objective functions. These functions …
A systematic literature review on web service clustering approaches to enhance service discovery, selection and recommendation
With the advancement of web 2.0 and the development of the Internet of Things (IoT), all
tasks can be handled with the help of handheld devices. Web APIs or web services are …
tasks can be handled with the help of handheld devices. Web APIs or web services are …
[图书][B] Cluster analysis and applications
For several years, parts of the content of this textbook have been used in undergraduate
courses in the Department of Mathematics and in the Faculty of Economics at the University …
courses in the Department of Mathematics and in the Faculty of Economics at the University …
Prediction model of crash severity in imbalanced dataset using data leveling methods and metaheuristic optimization algorithms
Road accident is one of the important problems in the world which caused large number of
deaths. In a road crash dataset, the fatal crash samples, often constitute very small …
deaths. In a road crash dataset, the fatal crash samples, often constitute very small …
[HTML][HTML] Robust clustering algorithm: The use of soft trimming approach
The presence of noise or outliers in data sets may heavily affect the performance of
clustering algorithms and lead to unsatisfactory results. The majority of conventional …
clustering algorithms and lead to unsatisfactory results. The majority of conventional …
Monitoring Changes in Clustering Solutions: A Review of Models and Applications
This article comprehensively reviews the applications and algorithms used for monitoring
the evolution of clustering solutions in data streams. The clustering technique is an …
the evolution of clustering solutions in data streams. The clustering technique is an …
Mahalanobis clustering for the determination of incidence-magnitude seismic parameters for the Iberian Peninsula and the Republic of Croatia
A Morales-Esteban, F Martínez-Álvarez… - Computers & …, 2021 - Elsevier
The aim of this paper is to analyse the seismic activity of the Iberian Peninsula and a wide
area of the Republic of Croatia. To do so, two incidence-magnitude seismic parameters …
area of the Republic of Croatia. To do so, two incidence-magnitude seismic parameters …
Minimal distance index—A new clustering performance metrics
We define a new index for measuring clustering performance called the Minimal Distance
Index. The index is based on representing clusters by characteristic objects containing the …
Index. The index is based on representing clusters by characteristic objects containing the …
Analysis of the behavior pattern of energy consumption through online clustering techniques
J Viera, J Aguilar, M Rodríguez-Moreno… - Energies, 2023 - mdpi.com
Analyzing energy consumption is currently of great interest to define efficient energy
management strategies. In particular, studying the evolution of the behavior of the …
management strategies. In particular, studying the evolution of the behavior of the …
Applications of monitoring and tracing the evolution of clustering solutions in dynamic datasets
The clustering approach is widely accepted as the most prominent unsupervised learning
problem in data mining techniques. This procedure deals with the identification of notable …
problem in data mining techniques. This procedure deals with the identification of notable …