MARC details
| 000 -LEADER |
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| fixed length control field |
02302nam a22003613a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
UPMIN-00003211645 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
UPMIN |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20230201152112.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
230201b |||||||| |||| 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) |
LG993.5 2008 |
| Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) |
A64 M32 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Mabano, Armand Jay C. |
| 9 (RLIN) |
1987 |
| 245 ## - TITLE STATEMENT |
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| Title |
Effectiveness of particles swarm optimization-tabu search (PSO-TS) to iris data set and wine data set / |
| Statement of responsibility, etc. |
Armand Jay C. Mabano. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Date of publication, distribution, etc. |
2008 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
81 leaves. |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
Thesis (BS Applied Mathematics) -- University of the Philippines Mindanao, 2008 |
| 520 3# - SUMMARY, ETC. |
|---|
| Summary, etc. |
Data clustering is a process of grouping together similar objects in bins. This project aims to find alternative method of clustering continuous data set using a hybrid type of algorithm. The two algorithms that I tried to hybrid are Particle Swarm Optimization and Tabu Search. These two algorithms are used in many fields of clustering. There are a lot of literatures about these two algorithms embedded in other existing algorithms. The results show that the hybrid method is a good alternative for the pure PSO algorithms in finding an optimum solution for iris data set and wine data set. The graphs show the comparison between the hybrid algorithm and its pure counterpart. However, the parameter settings may not be the optimum settings and maybe improved. Another comparison was made between PSO-TS and PSO-SA (Particle Swarm Optimization ? Simulated Annealing). The result shows that the hybrid method were possible alternative for the pure one depends on the preferred criteria of the researcher. The criteria used for this study are optimal quantization error and solution time. |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Particle swarm optimizations (PSO) |
| 9 (RLIN) |
1988 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Data clustering. |
| 9 (RLIN) |
1176 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Tabu search (TS) |
| 9 (RLIN) |
943 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Quantization errors. |
| 9 (RLIN) |
1989 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
PSO-TS (Particle Swarm Optimization)-(Tabu Search) |
| 9 (RLIN) |
1990 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
PSO-SA (particle Swarm Optimization)-(Simulation Annealing) |
| 9 (RLIN) |
1991 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Data sets. |
| 9 (RLIN) |
1992 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Data sets |
| General subdivision |
Iris. |
| 9 (RLIN) |
1993 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Data sets |
| General subdivision |
Wine. |
| 9 (RLIN) |
1994 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Algorithms. |
| 9 (RLIN) |
1336 |
| 658 ## - INDEX TERM--CURRICULUM OBJECTIVE |
|---|
| Main curriculum objective |
Undergraduate Thesis |
| Curriculum code |
AMAT200 |
| 905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
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| 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 |
