102,603 research outputs found
U.S. trout markets : a survey of wholesale and retail distributors of freshwater, farm-raised rainbow trout
Bulletin no. 750 Moscow, Idaho :University of Idaho, College of Agriculture, Cooperative Extension System, 1993-11-01. Author(s): G. McCain, G; Guenthner, J.F
William D. McCain, Everard G. Baker
William D. McCain and Everard G. Baker are shown from left to right beside a National Engineers\u27 Week banner.https://scholarsjunction.msstate.edu/ua-photo-collection/4759/thumbnail.jp
U.S. trout aquaculture: a market overview
Bulletin no. 764 Moscow, Idaho :University of Idaho, College of Agriculture, Cooperative Extension System, 1994-04-01. Author(s): Hughes, K.; Guenthner, J. F.; Gray, C. W.; McCain, G
A Connectionist and Multivariate Approach to Science Maps: Som, Clustering and Mds Applied to Library & Information Science Research.
The visualization of scientific field structures is a classic of scientometric studies. This paper presents a domain analysis of the library and information science discipline based on author co-citation analysis (ACA) and journal cocitation analysis (JCA). The techniques used for map construction are the self-organizing map (SOM) neural
algorithm, Ward’s clustering method and multidimensional
scaling (MDS). The results of this study are compared with
similar research developed by Howard White and Katherine
McCain [1]. The methodologies used allow us to confirm that
the subject domains identified in this paper are, as well,
present in our study for the corresponding period. The appearance of studies pertaining to library science reveals
the relationship of this realm with information science.
Especially significant is the presence of the management on the journal maps. From a methodological standpoint, meanwhile, we would agree with those authors who consider
MDS, the SOM and clustering as complementary methods
that provide representations of the same reality from different analytical points of view. Even so, the MDS representation is the one offering greater possibilities for the structural representation of the clusters in a set of variables
A connectionist and multivariate approach to science maps: the SOM, clustering and MDS applied to library and information science research
The visualization of scientific field structures is a classic of scientometric studies. This paper presents a domain analysis of the library and information science discipline based on author co-citation analysis (ACA) and journal cocitation analysis (JCA). The techniques used for map construction are the self-organizing map (SOM) neural algorithm, Ward’s clustering method and multidimensional scaling (MDS). The results of this study are compared with similar research developed by Howard White and Katherine McCain [1]. The methodologies used allow us to confirm that the subject domains identified in this paper are, as well,
present in our study for the corresponding period. The appearance of studies pertaining to library science reveals the relationship of this realm with information science. Especially significant is the presence of the management on the journal maps. From a methodological standpoint, meanwhile, we would agree with those authors who consider MDS, the SOM and clustering as complementary methods that provide representations of the same reality from different analytical points of view. Even so, the MDS representation is the one offering greater possibilities for the structural representation of the clusters in a set of variables
Letter re: Amon Carter, Jr.
Letter from the secretary to Amon Carter to Mrs. T. W. McCain regarding Amon, Jr.'s liberation as a prisoner of war
Letter re: Amon Carter, Jr.
Letter from Charles McCain of Dillon, Read & Co. to Amon Carter regarding recent updates of Amon, Jr. as prisoner of war in Germany
Letter re: Amon Carter, Jr.
Letter from Charles S. McCain of Dillon, Read & Co. to Amon Carter expressing sympathy at the news that his son, Amon, Jr., had been reported missing in action in North Africa
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