Πλοήγηση ανά Θέμα "Clustering"
Αποτελέσματα 1-19 από 19
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Ant colony optimization and data mining: Techniques and trends
(2010)The Ant Colony Optimization (ACO) technique was inspired by the ants' behaviour throughout their exploration for food. The use of this technique has been very successful for several problems. Besides, Data Mining (DM) has ... -
Clustering of high dimensional data streams
(2012)Clustering of data streams has become a task of great interest in the recent years as such data formats is are becoming increasingly ambiguous. In many cases, these data are also high dimensional and in result more complex ... -
A comparable study employing weka clustering/classification algorithms for web page classification
(2011)Documents and web pages share many similarities. Thus classification methods used in documents can be applied to advanced web content, with or even without modifications. Algorithms for document and web classification are ... -
Detection of jet axis in a horizontal turbulent jet via nonlinear analysis of minimum/maximum temperature time series
(2019)We have analyzed experimental temperature time series from a horizontal turbulent heated jet, in order to identify the jet axis location using non linear measures. The analysis was applied on both, the original time series ... -
Enabling distributed summarization of wireless capsule endoscopy video
(2010)The introduction of distributed or parallel medical video processing is a constant growing need, because despite the large increase of modern workstations computational power, the amount of data in medical videos is growing ... -
Energy-efficient distributed clustering in wireless sensor networks
(2010)The deployment of wireless sensor networks in many application areas requires self-organization of the network nodes into clusters. Clustering is a network management technique, since it creates a hierarchical structure ... -
Enhancing Clustering of Single-Cell RNA-Seq Data by Proximity Learning on Random Projected Spaces
(2019)We are in the era of single-cell RNA sequencing technology, which offers a great potential for uncovering cellular differences with a higher resolution, shedding light in various complex biological processes and complex ... -
Enhancing principal direction divisive clustering
(2010)While data clustering has a long history and a large amount of research has been devoted to the development of numerous clustering techniques, significant challenges still remain. One of the most important of them is ... -
Geoinformatic Intelligence Methodologies for Drought Spatiotemporal Variability in Greece
(2012)One of the most important hazards in terms of cost, frequency of occurrence and impact on humans is drought. Drought indices are estimations of precipitation shortage and water supply deficit. Satellite drought indices are ... -
An iterative distance-based model for unsupervised weighted rank aggregation
(2019)Rank aggregation is a popular problem that combines different ranked lists from various sources (frequently called voters or judges), and generates a single aggregated list with improved ranking of its items. In this ... -
A New Topology-Preserving Distance Metric with Applications to Multi-dimensional Data Clustering
(2019)In many cases of high dimensional data analysis, data points may lie on manifolds of very complex shapes/geometries. Thus, the usual Euclidean distance may lead to suboptimal results when utilized in clustering or visualization ... -
Node clustering in wireless sensor networks by considering structural characteristics of the network graph
(2007)The deployment of wireless sensor networks in many application areas, e.g., aggregation services, requires self-organization of the network nodes into clusters. Quite a lot of node clustering techniques have appeared in ... -
Random direction divisive clustering
(2013)Projection methods for dimension reduction have enabled the discovery of otherwise unattainable structure in ultra high dimensional data. More recently, a particular method, namely Random Projection, has been shown to have ... -
A scientist's impact over time: The predictive power of clustering with peers
(2016)The identification of latent patterns in big scholarly data that concern the performance of researchers is a significant task because it can potentially impact scien-tific careers since they are based in funding and ... -
A self-verifying clustering approach to unsupervised matching of product titles
(2020)The continuous growth of the e-commerce industry has rendered the problem of product retrieval particularly important. As more enterprises move their activities on the Web, the volume and the diversity of the product-related ... -
A simulation-based performance evaluation of a randomized MIS-based clustering algorithm for ad hoc networks
(2014)Ad-hoc networks represent distributed systems that comprise wireless nodes which can dynamically self-organize into arbitrary and temporary network topologies, without relying on pre-existing infrastructure, and thus network ... -
Social clustering of vehicles based on semi-Markov processes
(2016)Vehicle clustering is a crucial network management task for vehicular networks to address the broadcast storm problem and to cope with the rapidly changing network topology. Developing algorithms that create stable clusters ... -
Topology control algorithms for wireless sensor networks: A critical survey
(2010)In a densely deployed wireless sensor network, a single node has many neighbouring nodes with which direct communication would be possible when using sufficiently large transmission power. This is, however, not beneficial; ... -
Unsupervised clustering and multi-optima evolutionary search
(2014)This paper pursues a course of investigation of an approach to combine Evolutionary Computation and Data Mining for the location and computation of multiple local and global optima of an objective function. To accomplish ...