An assessment on the performance of double principal coordinate analysis (DPCoA) according to the application of different distance matrices / (Record no. 2465)

MARC details
000 -LEADER
fixed length control field 02853nam a22003013a 4500
001 - CONTROL NUMBER
control field UPMIN-00004810097
003 - CONTROL NUMBER IDENTIFIER
control field UPMIN
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230131145552.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230131b |||||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Transcribing agency UPMin
Modifying agency upmin
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
090 #0 - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) LG993.5 2010
Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) A64 I63
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Incio, Charmagne P.
9 (RLIN) 1922
245 #3 - TITLE STATEMENT
Title An assessment on the performance of double principal coordinate analysis (DPCoA) according to the application of different distance matrices /
Statement of responsibility, etc. Charmagne P. Incio
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2010
300 ## - PHYSICAL DESCRIPTION
Extent 122 leaves.
502 ## - DISSERTATION NOTE
Dissertation note Thesis (BS Applied Mathematics) -- University of the Philippines Mindanao, 2010
520 3# - SUMMARY, ETC.
Summary, etc. The application of two different dissimilarity matrices provides varying projections of species points in the plots of double principal coordinate analysis (DPCoA). In effect, this alters the locations of community points thus, affecting the ecological interpretations of datasets. With this gap, an opportunity was given to study the differences in the performance of DPCoA when different existing distance measures were applied in the construction of its dissimilarity matrix. Euclidean, maximum, fourth-order Minkowski, Canberra and Mahalanobis distance models and twenty datasets were the tools used in assessment. Five sets of Rao DIVCs and five species-based DPCoA projections were the generated for each data. Comparative analysis was done pair-wisely among the generated outputs through Spearman rank correlation coefficient and Procrustes analysis respectively. Results showed that the pairings between the Rao DIVC sets of Euclidean- maximum and Minkowski-based distance matrices obtained high correlation. Moreover, low sum of squared residual deviations on its corresponding DPCoA plots were outputted which further justified its resemblance. On the other hand, caution should be made usage of Canberra and Mahalanobis distance measures since both brought excessive changes on the values of Rao DIVCs and DPCoA results. Numerous measures were available for the analyst with some produce comparable results: however, the study cannot justify a preference since the process of assessment did not provide a basis for picking out the best model among the five measures tested. Nevertheless, the assessment made in the study showed and provided an insight that distance models like Euclidean, Maximum and Minkowski distance models were less sensitive in the application of DVCoA compared with that of the measures using Canberra and Mahalanobis.
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Comparative analysis
9 (RLIN) 1923
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Distance measure
9 (RLIN) 1924
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Double principal coordinate analysis
9 (RLIN) 821
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Procrustes analysis
9 (RLIN) 1925
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Rao diversity coefficient
9 (RLIN) 1926
658 ## - INDEX TERM--CURRICULUM OBJECTIVE
Main curriculum objective Undergraduate Thesis
Curriculum code AMAT200
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
a Fi
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
a UP
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Thesis
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Status Collection Home library Current library Shelving location Date acquired Source of acquisition Accession Number Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Library of Congress Classification   Not For Loan Preservation Copy University Library University Library Archives and Records 2010-07-06 donation UAR-T-gd1574   LG993.5 2010 A64 I63 3UPML00033249 2022-10-05 2022-10-05 Thesis
    Library of Congress Classification   Not For Loan Room-Use Only College of Science and Mathematics University Library Theses 2010-05-13 donation CSM-T-gd2247   LG993.5 2010 A64 I63 3UPML00012581 2022-10-05   Thesis
 
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