Agglomerative Clustering
Mostrando 1-12 de 16 artigos, teses e dissertações.
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1. Genetic variability in peppers accessions based on morphological, biochemical and molecular traits
ABSTRACT The evaluation of genetic diversity among the accessions of a germplasm collection results in information about promising materials suitable for breeding programs. Thus, the goal of this work was to characterize Capsicum baccatum accessions from different Brazilian regions, based on morphological, biochemical and molecular traits, aiming to support
Bragantia. Publicado em: 2020-12
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2. Phenotypic Characterization and Genetic Diversity of Sugarcane Varieties Cultivated in Northern Karnataka of India based on Principal Component and Cluster Analyses
Abstract: Sugarcane is a major commercial crop grown in India and across the world. Hence, several elite varieties have been developed now-a-days to overcome many obstacles including abiotic stresses and diseases. The present study was undertaken to screen genetic variation among twenty four sugarcane varieties that are commonly cultivated across Northern Ka
Braz. arch. biol. technol.. Publicado em: 24/10/2019
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3. Combinations of distance measures and clustering algorithms in pepper germplasm characterization
RESUMO Com o aumento da perda da variabilidade genética e a procura por genótipos mais adaptados e produtivos, a caracterização e a avaliação dos genótipos conservados em um banco de germoplasma são de elevada importância. Essas podem ser obtidas de várias formas, gerando dados quantitativos e qualitativos. A análise conjunta dessas variáveis pod
Hortic. Bras.. Publicado em: 18/07/2019
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4. Pollen morphology and its taxonomic significance in the genus Bomarea Mirb. (Alstroemeriaceae) - II. Subgenus Bomarea
Pollen morphology of 52 species (out of c. 79) of the Bomarea subgenus Bomarea was examined using light microscopy and scanning electron microscopy (SEM), or using SEM alone. The studied species of Bomarea were stenopalynous, characterized by large, oblate, monosulcate monads with reticulate exine sculpture in most species. Wide variation was observed in qua
Acta Bot. Bras.. Publicado em: 2015-12
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5. Physicochemical and antioxidant properties of kiwifruit as a function of cultivar and fruit harvested month
The present study was carried out to find the effect of fruit harvesting stage (October, November and December) on the physicochemical and antioxidant properties in five kiwi cultivars (Abbot, Bruno, Allison, Hayward, Monty). Results showed that soluble solid content (SSC) and pH increased while ascorbic acid (Vit C), titrated acidity (TAD) and SSC/TAD decre
Braz. arch. biol. technol.. Publicado em: 2015-04
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6. Aplicação de método Monte Carlo para cálculos de dose em folículos tiroideanos
The Monte Carlo method is an important tool to simulate radioactive particles interaction with biologic medium. The principal advantage of the method when compared with deterministic methods is the ability to simulate a complex geometry. Several computational codes use the Monte Carlo method to simulate the particles transport and they have the capacity to s
Publicado em: 2008
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7. Color-based image retrieval using discrete distribution features analysis / Recuperação de imagens por cor utilizando analise de distribuição discreta de caracteristicas
Advances in data storage, data transmission, and image acquisition have enabled the creation of large images datasets. This has spurred great interest for systems that are ablc to efficicntly rctricve images from these collections. This task has been addressed by thc so-called Content-Based Image Retrieval (CBIR) systems. ln these systems, image content is r
Publicado em: 2007
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8. Comparative analysis of clustering methods for gene expression time course data
This work performs a data driven comparative study of clustering methods used in the analysis of gene expression time courses (or time series). Five clustering methods found in the literature of gene expression analysis are compared: agglomerative hierarchical clustering, CLICK, dynamical clustering, k-means and self-organizing maps. In order to evaluate the
Genetics and Molecular Biology. Publicado em: 2004
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9. Comparative analysis of clustering methods for gene expression data
Large scale approaches, namely proteomics and transcriptomics, will play the most important role of the so-called post-genomics. These approaches allow experiments to measure the expression of thousands of genes from a cell in distinct time points. The analysis of this data can allow the the understanding of gene function and gene regulatory networks (Eisen
Publicado em: 2003
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10. Tracking evolving communities in large linked networks
We are interested in tracking changes in large-scale data by periodically creating an agglomerative clustering and examining the evolution of clusters (communities) over time. We examine a large real-world data set: the NEC CiteSeer database, a linked network of >250,000 papers. Tracking changes over time requires a clustering algorithm that produces cluster
National Academy of Sciences.
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11. Cluster analysis of gene expression dynamics
This article presents a Bayesian method for model-based clustering of gene expression dynamics. The method represents gene-expression dynamics as autoregressive equations and uses an agglomerative procedure to search for the most probable set of clusters given the available data. The main contributions of this approach are the ability to take into account th
The National Academy of Sciences.
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12. d2_cluster: A Validated Method for Clustering EST and Full-Length cDNA Sequences
Several efforts are under way to condense single-read expressed sequence tags (ESTs) and full-length transcript data on a large scale by means of clustering or assembly. One goal of these projects is the construction of gene indices where transcripts are partitioned into index classes (or clusters) such that they are put into the same index class if and only
Cold Spring Harbor Laboratory Press.