Temporal changes in foraminiferal distributions in Miramichi River estuary, New Brunswick

1977 ◽  
Vol 14 (7) ◽  
pp. 1566-1587 ◽  
Author(s):  
David B. Scott ◽  
Franco S. Medioli ◽  
Charles T. Schafer
Keyword(s):  
Cluster Analysis ◽  
New Brunswick ◽  
Surface Sediments ◽  
River Estuary ◽  
Temporal Changes ◽  
Similar Data ◽  
The Past ◽  
Circulation Patterns

Distribution of foraminifera from surface sediments collected during September 1975 and February 1976 in Miramichi estuary are described and compared to similar data reported previously from the same estuary. Three major assemblage zones presently occupy the estuary: the river, transitional, and open bay assemblage zones. Only two assemblage zones were observed in earlier studies: river and open bay. Sedimentological and geomorphological evidence suggests that circulation patterns in the estuary have changed sufficiently in the past decade to allow the transition assemblage to replace the open bay in large parts of the estuary.A comparison is made between the distributions obtained using a cluster analysis and those obtained using a direct, intuitive approach. The two methods yield almost identical results in this study and the cluster analysis should be a valuable tool when large amounts of data must be interpreted.Seasonal observations were limited; however, no major shifts of faunal zones were detected from September to February. One species, Protelphidium orbiculare, appears to be more common in the warmer months and may require relatively warm temperatures to reproduce.A new complementary classification of estuaries based on circulation detected by foraminiferal assemblages is proposed.

Patterns of vegetation in the vicinity of an industrially disturbed ecosystem, Sudbury, Ontario

1981 ◽  
Vol 59 (9) ◽  
pp. 1623-1639 ◽  
Author(s):  
Brian D. Amiro ◽  
Gerard M. Courtin
Keyword(s):  
Cluster Analysis ◽  
Plant Communities ◽  
Hierarchical Cluster Analysis ◽  
Industrial Pollution ◽  
Hierarchical Cluster ◽  
Past Century ◽  
White Pine ◽  
Disturbed Region ◽  
The Past

During the past century, forests in the vicinity of Sudbury, Ont., have been either destroyed or disturbed by logging, fires, and industrial pollution. These factors have produced an atypical mosaic of vegetation communities. This study investigates the patterns of plant communities that characterize this disturbed ecosystem.Nine major plant communities were found to predominate. These were determined by classification of the tree stratum with the aid of a hierarchical cluster analysis that was applied to data gathered from 142 quantitatively sampled field sites.These communities tend to be regulated by topography, soils, and distance from pollution sources. They can be grouped into two main types. The barren, birch transition and maple transition communities form a grouping that is attributed to pollution whereas the remaining six types are typical of the hemlock – white pine – northern hardwoods forest. The first three communities are restricted to the industrially disturbed region near Sudbury. Since they are peculiar, their dynamics are unknown and require further autecological research. Such an investigation could provide valuable insights into the pattern of succession in an ecosystem that is regulated by human activities.

Neurophysiologic classification of Wilson's disease by using cluster analysis

2006 ◽  
Vol 37 (01) ◽  
Author(s):  
W Hermann ◽  
T Villmann ◽  
HJ Kühn ◽  
P Baum ◽  
G Reichel ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Wilson’S Disease ◽  
Wilson's Disease

Classifying the Past: Discriminant Analysis and its Application to Medieval Farming Systems

1996 ◽  
Vol 8 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Ken Bartley
Keyword(s):  
Cluster Analysis ◽  
Discriminant Analysis ◽  
Processing Time ◽  
Farming Systems ◽  
Frame Of Reference ◽  
Analytical Models ◽  
Successful Implementation ◽  
Medieval Period ◽  
The Past ◽  
Livestock Management

This paper discusses the need for nationally based analytical models of the medieval period. The use of cluster analysis as a method for classifying demesne farms, by the crops they grew and their livestock management, is explained. Successful implementation of cluster analysis requires both the existence of a large base sample, to permit isolation of specific groupings within the data, and access to considerable processing time. The paper concludes by demonstrating how discriminant analysis can provide an efficient and systematic way of classifying even a single manor within a national frame of reference.

Classification of Observations through Combination of the Dimension Reduction and the Cluster Analysis

2017 ◽  
Vol 7 (8) ◽  
pp. 30
Author(s):  
Hyeuk Kim
Keyword(s):  
Machine Learning ◽  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Unsupervised Learning ◽  
Principal Component ◽  
Component Analysis ◽  
Baseball Players ◽  
Partitioning Around Medoids ◽  
Different Characteristics

Unsupervised learning in machine learning divides data into several groups. The observations in the same group have similar characteristics and the observations in the different groups have the different characteristics. In the paper, we classify data by partitioning around medoids which have some advantages over the k-means clustering. We apply it to baseball players in Korea Baseball League. We also apply the principal component analysis to data and draw the graph using two components for axis. We interpret the meaning of the clustering graphically through the procedure. The combination of the partitioning around medoids and the principal component analysis can be used to any other data and the approach makes us to figure out the characteristics easily.

Second international scientific conference «Present fundamental problems of vegetation classification» (Yalta, 15–20 September 2019)

2019 ◽  
pp. 135-142
Author(s):  
K. V. Ivanova ◽  
A. M. Lapina ◽  
V. V. Neshataev
Keyword(s):  
Plant Communities ◽  
National Archive ◽  
Botanical Garden ◽  
Vegetation Classification ◽  
Scientific Conference ◽  
Scientific Journals ◽  
Time Dynamics ◽  
The Past ◽  
Research Organizations

The 2nd international scientific conference «Fundamental problems of vegetation classification» took place at the Nikitskiy Botanical Garden (Yalta, Republic of Crimea, Russia) on 15–20 September 2019. There were 56 participants from 33 cities and 43 research organizations in Russia. The conference was mostly focused on reviewing the success in classification of the vegetation done by Russian scientists in the past three years. The reports covered various topics such as classification, description of new syntaxonomical units, geobotanical mapping for different territories and types of vegetation, studies of space-time dynamics of plant communities. The final discussion on the last day covered problems yet to be solved: establishment of the Russian Prodromus and the National archive of vegetation, complications of higher education in the profile of geobotany, and the issue of the data leakage to foreign scientific journals. In conclusion, it was announced that the 3rd conference in Nikitskiy Botanical Garden will be held in 2022.

A Classification of 148 U.S. Maize Inbreds: II. Validation of Cluster Analysis Based on RFLPs

Crop Science ◽  
1994 ◽  
Vol 34 (4) ◽  
pp. 852-865 ◽  
Author(s):  
Rita Hogan Mumm ◽  
Lawrence J. Hubert ◽  
J. W. Dudley
Keyword(s):  
Cluster Analysis ◽  
Maize Inbreds

Using clusterization principles for the selection of repair sections of main oil pipelines based on diagnostic data

2011 ◽  
Vol 8 (1) ◽  
pp. 201-210
Author(s):  
R.M. Bogdanov
Keyword(s):  
Cluster Analysis ◽  
Defect Density ◽  
Density Variation ◽  
Distance Functions ◽  
Oil Pipeline ◽  
Oil Pipelines ◽  
Classification Of Images ◽  
Main Oil Pipeline ◽  
Selection Of

The problem of determining the repair sections of the main oil pipeline is solved, basing on the classification of images using distance functions and the clustering principle, The criteria characterizing the cluster are determined by certain given values, based on a comparison with which the defect is assigned to a given cluster, procedures for the redistribution of defects in cluster zones are provided, and the cluster zones parameters are being changed. Calculations are demonstrating the range of defect density variation depending on pipeline sections and the universal capabilities of linear objects configuration with arbitrary density, provided by cluster analysis.

ACOUSTIC BOTTOM CLASSIFICATION OF OYSTER HABITAT IN THE MULLICA RIVER ESTUARY

2019 ◽  
Author(s):  
Courtney Birdsall ◽  
◽  
Taylor Forster ◽  
Susanne Moskalski
Keyword(s):  
River Estuary ◽  
Bottom Classification

The Poetry and Music of Science

2019 ◽  
Author(s):  
Tom McLeish
Keyword(s):  
School Leaver ◽  
Creative People ◽  
Creative Processes ◽  
Arts And Sciences ◽  
The Past ◽  
The Arts ◽  
The Two Cultures ◽  
Personal Accounts ◽  
Poetry And Music

‘I could not see any place in science for my creativity or imagination’, was the explanation, of a bright school leaver to the author, of why she had abandoned all study of science. Yet as any scientist knows, the imagination is essential to the immense task of re-creating a shared model of nature from the scale of the cosmos, through biological complexity, to the smallest subatomic structures. Encounters like that one inspired this book, which takes a journey through the creative process in the arts as well as sciences. Visiting great creative people of the past, it also draws on personal accounts of scientists, artists, mathematicians, writers, and musicians today to explore the commonalities and differences in creation. Tom McLeish finds that the ‘Two Cultures’ division between the arts and the sciences is not after all, the best classification of creative processes, for all creation calls on the power of the imagination within the constraints of form. Instead, the three modes of visual, textual, and abstract imagination have woven the stories of the arts and sciences together, but using different tools. As well as panoramic assessments of creativity, calling on ideas from the ancient world, medieval thought, and twentieth-century philosophy and theology, The Poetry and Music of Science illustrates its emerging story by specific close-up explorations of musical (Schumann), literary (James, Woolf, Goethe) mathematical (Wiles), and scientific (Humboldt, Einstein) creation. The book concludes by asking how creativity contributes to what it means to be human.

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