MARC details
| 000 -LEADER |
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| fixed length control field |
02686nam a22003253a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
UPMIN-00005905254 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
UPMIN |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20230111115144.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
230111b |||||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
DLC |
| Transcribing agency |
UPMin |
| Modifying agency |
upmin |
| 041 ## - LANGUAGE CODE |
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| Language code of text/sound track or separate title |
eng |
| 090 #0 - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
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| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
LG 993.5 2011 |
| Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) |
A64 F37 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Farofaldino, Gay A. |
| 9 (RLIN) |
1293 |
| 245 ## - TITLE STATEMENT |
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| Title |
Dissimilarity coefficients in hierarchical clustering for mixed and fuzzy feature variable / |
| Statement of responsibility, etc. |
Gay A. Farofaldino |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
90 leaves |
| 500 ## - GENERAL NOTE |
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| General note |
Thesis, Undergraduate (B.S. Applied Mathematics)-U.P. Mindanao. |
| 520 3# - SUMMARY, ETC. |
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| Summary, etc. |
Yang's coefficient for mixed and fuzzy feature variable was modified in terms of the aggregation technique and the entropy-based distance function. There are four proposed dissimilarity coefficients which used Yang's coefficient for numerical attributes and fuzzy attributes while entropy such as Havrda-Charvat's structural a-entropy and Jensen-Shannon divergence for categorical attributes. The hierarchical clustering method was used for clustering mixed and fuzzy data. Single linkage clustering algorithm and UPGMA were employed to generate fuzzy dendrograms. The type of data has a significant effect on the clustering produced accompanied by the aggregation function used and the entropy measure employed. The dataset used in the study were small and large dataset. For small data, the proposed dissimilarity coefficients that used De Carvalho's extension of Ichino and Yaguchi's dissimilarity measure as aggregation produced better clustering solution in small data. On the other hand, for large data, the proposed dissimilarity coefficients that used the two aggregation function such as De Carvalho's dissimilarity measure and De Carvalho's extension of Ichino and Yamguchi's dissimilarity measure worked well in clustering. The proposed dissimilarity coefficients were compared to the original Yang's coefficient measures for mixed feature variable and fuzzy data to evaluate the effectiveness and efficiency of the propose dissimilarity coefficients. The proposed dissimilarity coefficients performed better with mixed and fuzzy feature variable compared to the original Yang's dissimilarity measures mixed and fuzzy data. |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| 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 |
Hierarchical clustering. |
| 9 (RLIN) |
1294 |
| 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 |
Aggregation. |
| 9 (RLIN) |
1296 |
| 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 |
Fuzzy data. |
| 9 (RLIN) |
1298 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Jensen-Shannon divergence. |
| 9 (RLIN) |
1299 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Clustering algorithm |
| 9 (RLIN) |
1300 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Cluto package. |
| 9 (RLIN) |
1301 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Single linkage algorithm. |
| 9 (RLIN) |
1302 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Fuzzy datasets. |
| 9 (RLIN) |
1303 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Thesis |
