000			01741nam a2200241 4500
001			UPMIN-00000009282
003			UPMIN
005			20230117144735.0
008			230117b |||||||| |||| 00| 0 eng d
040			_aDLC _cUPMin _dupmin
041			_aeng
090			_aLG993.5 2004 _bA64 G66
100	1		_aGonzales, Richanne T. _91347
245	0	0	_aA mathematical model for site analysis and its application for study of phenotypic diversity of feral cats in Mindanao / _cRichanne T. Gonzales
260			_c2004
300			_a52 leaves
502			_aThesis (BS Applied Mathematics) -- University of the Philippines Mindanao, 2004
520	3		_aSeveral clustering algorithms have been suggested to do site analysis, but fewer solutions have been implemented to guide the design of clustering-based experiments and asses the quality of their outcomes. Cluster analysis aims to identify groups of similar objects and, therefore helps to discover distribution of patterns and interesting correlation in large data sets. A cluster validity framework provides insights into the problem of predicting what sites go together and determining the common and unique attributes that characterize the different cluster formed. These methods were applied to study the phenotypic diversity of feral cats in Mindanao. Evaluation approaches includes hierarchical clustering which yields the nested grouping of patterns and similarly levels at which grouping changes and the partitional (k-means) clustering which obtained a single partition of the data instead of a significantly supported site analysis application for the study of phenotypic diversity
658			_aUndergraduate Thesis _cAMAT200
905			_aFi
905			_aUP
942			_2lcc _cTHESIS
999			_c310 _d310