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An Experimental Study on Microarray Expression Data from Plants under Salt Stress by using Clustering Methods
Current Genome-wide advancements in Gene chips technology provide in the “Omics (genomics, proteomics and transcriptomics) research”, an opportunity to analyze the expression levels of thousand of genes across multiple ...
Data-Aware Scheduling Strategy for Scientific Workflow Applications in IaaS Cloud Computing
Scientific workflows benefit from the cloud computing paradigm, which offers access to virtual resources provisioned on pay-as-you-go and on-demand basis. Minimizing resources costs to meet user’s budget is very important ...
Density-based clustering validation
(Society for Industrial and Applied Mathematics - SIAMPhiladelphia, 2014-04)
One of the most challenging aspects of clustering is validation, which is the objective and quantitative assessment of clustering results. A number of different relative validity criteria have been proposed for the validation ...
An Automatic Merge Technique to Improve the Clustering Quality Performed by LAMDA
(Institute of Electrical and Electronics Engineers Inc., 2020-01-01)
Clustering is a research challenge focused on discovering knowledge from data samples whose goal is to build good quality partitions. In this paper is proposed an approach based on LAMDA (Learning Algorithm for Multivariable ...
Different clusters in patients with chronic obstructive pulmonary disease (Copd): A two-center study in brazil
(2020-01-01)
Background: Chronic obstructive pulmonary disease (COPD) has a functional definition. However, differences in clinical characteristics and systemic manifestations make COPD a heterogeneous disease and some manifestations ...
Effects of leaf removal and cluster thinning on yield and quality of grapes (vitis vinifera l., riesling × silvaner) in corrales, boyaca (colombia)
(Universidad Nacional de Colombia, Facultad de Agronomía, Centro Editorial, 2011)
The vineyards that are located in the Colombian cool tropicalzone of Corrales (Boyaca department) offer grapes for the production of quality wines; to improve the crop we must know the adequate balance between the quantity ...
ClusMAM: fast and effective unsupervised clustering of large complex datasets using metric access methods
(Association for Computing Machinery - ACMUniversity of PisaScuola Superiore Sant’AnnaPisa, 2016-04)
An efficient and effective clustering process is a core task of data mining analysis, and has become more important in the nowadays scenario of big data, where scalability is an issue. In this paper we present the ClusMAM ...