Hierarchical clustering for mixed dataset based on variance and entropy / (Record no. 2264)

MARC details
000 -LEADER
fixed length control field 02573nam a22003613a 4500
001 - CONTROL NUMBER
control field UPMIN-00003300428
003 - CONTROL NUMBER IDENTIFIER
control field UPMIN
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230131171133.0
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 2009
Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) A64 L32
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Labayan, Luchie Marie A.
9 (RLIN) 1953
245 ## - TITLE STATEMENT
Title Hierarchical clustering for mixed dataset based on variance and entropy /
Statement of responsibility, etc. Luchie Marie A. Labayan.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2009
300 ## - PHYSICAL DESCRIPTION
Extent 87 leaves.
502 ## - DISSERTATION NOTE
Dissertation note Thesis (BS Applied Mathematics) -- University of the Philippines Mindanao, 2009
520 3# - SUMMARY, ETC.
Summary, etc. Hsu's coefficient for mixed data was modified in terms of the aggregation technique and the entropy-based distance function the efficiently cluster mixed datasets. There are six proposed dissimilarly coefficients which use variance for numerical attributes and entropy such as Shannon's weighted entropy. Havrda-Charvat's structural a-entropy and Jensen-Shannon divergence for categorical attributes. The type of data has a significant effect on the clustering produced accompanied by the aggregation function used and the entropy measure employed. For data whose categorical values have no level of similarity. The proposed dissimilarity coefficients that are closely related and generated similar dendrograms are those which have the same aggregation function. Based on the performance, the proposed dissimilarity coefficients that used De Carvallo's dissimilarity measure as aggregation function produced better clustering solution. On the other hand, for data whose categorical values have different degrees of similarity, only the proposed dissimilarity coefficients that used Shannon's entropy weighted by the distance in the distance hierarchy deviated from the group. The proposed dissimilarity coefficients that used De Carvallo's extension of Ichino and Yaguchi's dissimilarity as aggregation function worked well in clustering. The six proposed dissimilarity coefficients performed better with mixed data compared to the existing dissimilarity measures for mixed data.
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Aggregation.
9 (RLIN) 1296
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Clustering.
9 (RLIN) 366
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Dissimilarity coefficients.
9 (RLIN) 1295
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Distance hierarchy.
9 (RLIN) 1954
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Entropy.
9 (RLIN) 1297
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Variance.
9 (RLIN) 1955
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mixed data.
9 (RLIN) 1956
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Hierarchical clustering.
9 (RLIN) 1294
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Dissimilarity measures.
9 (RLIN) 1957
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Datasets.
9 (RLIN) 1958
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 2009-07-28 donation UAR-T-gd1215   LG993.5 2009 A64 L32 3UPML00032663 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 2009-07-22 donation CSM-T-gd2101   LG993.5 2009 A64 L32 3UPML00012369 2022-10-05 2022-10-05 Thesis
 
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