OClustR: A new graph-based algorithm for overlapping clustering

A Pérez-Suárez, JF Martínez-Trinidad… - Neurocomputing, 2013 - Elsevier
Abstract Clustering is a Data Mining technique, which has been widely used in many
practical applications. From these applications, there are some, like social network analysis …

Arma-hmm: A new approach for early recognition of human activity

K Li, Y Fu - Proceedings of the 21st International Conference …, 2012 - ieeexplore.ieee.org
Early Recognition of human activities is a highly desirable functionality for many visual
intelligent systems. However, in computer vision, very few work have been devoted to this …

Generation of overlapping clusters constructing suitable graph for crime report analysis

A Das, J Nayak, B Naik, U Ghosh - Future Generation Computer Systems, 2021 - Elsevier
Cybercrime is a kind of criminal activity generally committed by cybercriminals or hackers.
Crime activities are growing explosively all over the world which motivates the law …

A new overlapping clustering algorithm based on graph theory

A Pérez-Suárez, JF Martńez-Trinidad… - Advances in Artificial …, 2013 - Springer
Most of the clustering algorithms reported in the literature build disjoint clusters; however,
there are several applications where overlapping clustering is useful and important …

ACONS: a new algorithm for clustering documents

AG Alonso, AP Suárez, JEM Pagola - Progress in Pattern Recognition …, 2007 - Springer
In this paper we present a new algorithm for document clustering called Condensed Star
(ACONS). This algorithm is a natural evolution of the Star algorithm proposed by Aslam et …

A clustering algorithm based on generalized stars

AP Suárez, JEM Pagola - Machine Learning and Data Mining in Pattern …, 2007 - Springer
In this paper we present a new algorithm for document clustering called Generalized Star
(GStar). This algorithm is a generalization of the Star algorithm proposed by Aslam et al …

Evaluating the effectiveness of soft k-means in detecting overlapping clusters

RA Dkhar, K Nath, S Roy, DK Bhattacharyya… - Proceedings of the …, 2016 - dl.acm.org
Traditional clustering techniques are limited in detecting clusters of overlapping in nature. To
identify overlapping clusters in a real data is a challenging task in data mining. A number of …

A new graph-based algorithm for clustering documents

AP Suárez, JFM Trinidad, JAC Ochoa… - … Conference on Data …, 2008 - ieeexplore.ieee.org
In this paper a new algorithm, called CStar, for document clustering is presented. This
algorithm improves recently developed algorithms like Generalized Star (GStar) and ACONS …

Study of overlapping clustering algorithms based on Kmeans through FBcubed metric

AA Aroche-Villarruel, JA Carrasco-Ochoa… - Pattern Recognition: 6th …, 2014 - Springer
In this paper we present a study of the overlapping clustering algorithms OKM, WOKM and
OKMED, which are extensions to the overlapping case of the well known Kmeans algorithm …

Algoritmos de agrupamiento para la generación de cubrimiento en colecciones de documentos

AP SUAREZ - 2008 - inaoe.repositorioinstitucional.mx
Clustering is the process of grouping a set of prototypes objects into a set of meaningful
subclasses, called clusters, such that prototypes belonging to the same cluster have a …