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An Evolutionary Algorithm for Automatic Recommendation of Clustering Methods and its Parameters
(Elsevier, 2018-08)
One of the main problems being faced at the time of performing data clustering consists in the deteremination of the best clustering method together with defining the ideal amount (k) of groups in which these data should ...
Evolutionary Automatic Text Summarization using Cluster Validation Indexes
(Computación y Sistemas, 2020)
On the assessment of the nature of open star clusters and the determination of their basic parameters with limited data
(Springer, 2017)
Our knowledge of stellar evolution and of the
structure and chemical evolution of the Galactic disk largely
builds on the study of open star clusters. Because of their
crucial role in these relevant topics, large ...
Automatic object extraction from high resolution aerial imagery with simple linear iterative clustering and convolutional neural networks
(2019-09-17)
Recent advances in machine learning techniques for image classification have led to the development of robust approaches to both object detection and extraction. Traditional CNN architectures, such as LeNet, AlexNet and ...
Automatic seabed classification using functional data analysis and time series cluster techniques
(Universidad de Valencia, 2016)
Seabed characterization in coastal environments is usually based on acoustic techniques. Since intrusive measurements are very time-consuming, data acquired by echosounders are the best option for classification purposes. ...
A Collaborative Filtering Probabilistic Approach for Recommendation to Large Homogeneous and Automatically Detected Groups
In the collaborative filtering recommender systems (CFRS) field, recommendation to group of users is mainly focused on stablished, occasional or random groups. These groups have a little number of users: relatives, friends, ...
Clustering stability for automated color image segmentation
(Pergamon-Elsevier Science Ltd, 2017-11)
Clustering is a well-established technique for segmentation. However, clustering validation is rarely used for this purpose. In this work we adapt a clustering validation method, Clustering Stability (CS), to automatically ...
Flexible document organization: comparing fuzzy and possibilistic approaches
(Institute of Electrical and Electronics Engineers - IEEEIstanbul, 2015-08)
System flexibility means the ability of a system to manage imprecise and/or uncertain information. A lot of commercially available Information Retrieval Systems (IRS) address this issue at the level of query formulation. ...
Evolving clusters in gene-expression data
(Elsevier Science IncNew YorkEUA, 2006)
Improvements for determining the number of clusters in k-means for innovation databases in SMEs
(Procedia Computer Science, 2019)