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5. MDS and Facet Theory

5. MDS and Facet Theory. 2010-01-26 숭실대학교 기계학습 연구실 봉성용 sybong@ml.ssu.ac.kr. Facets and Regions in MDS Space. Regions Facet theory 의 framework Facet Domain 의 element 를 분류 할 때 사용되는 계획 Elements of Facet Theory. Facets and Regions in MDS Space. Facet Theory and Regions in MDS Spaces.

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5. MDS and Facet Theory

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  1. 5. MDS and Facet Theory 2010-01-26 숭실대학교 기계학습 연구실 봉성용 sybong@ml.ssu.ac.kr

  2. Facets and Regions in MDS Space • Regions • Facet theory의 framework • Facet • Domain의 element를 분류 할 때 사용되는 계획 • Elements of Facet Theory

  3. Facets and Regions in MDS Space Facet Theory and Regions in MDS Spaces

  4. Facets and Regions in MDS Space • 3D Cylindrex • Facet Theory and Regions in MDS Spaces • Schematic radex

  5. Regional Laws • Regional law의의미 • Data의 규칙을 반영한다 • Radex의 중앙은 복잡하고, 명확한 특징 갖는 item으로 연관성이 높다

  6. Multiple Facetizations • Facet 추가로 alternative 추가를 제공 • Work value item • H(erzberg) = {h =hygiene, m=motivators} • M(aslow) = {p=physiological, s=security, b=belongingness, r=recognition, a=self-actualization } • A(lderfer) = {e=existence, r=relations, g=growth}; • E(lizur) = {i=instrumental-material, k=cognitive, a=affective-social} • R(osenberg) = {e=extrinsic, i=intrinsic, s=social} • L(evy-Guttman)= {i=independent of individual performance, g=depends on group performance, n=not performance dependent} • B(org-Elizur) = {1=depends much on individual performance, 2=depends more on individual performance than on system, 3=depends both on individual performance and on system, 4=depends on system only}

  7. Multiple Facetizations • Radexpartitionings of 13 work value items • Solid radial line : M(aslow) • Dashed radial lines : R(osenberg) • Concentric ellipses : L(levy-Guttman)

  8. Partitioning MDS Spaces Using Facet Diagrams • MDS space에서 Facet diagram 을 이용하여 Partitioning • Facetdiagram • MDS space에서 point를 하위 공간으로 분활 • 2차원 면으로 나타냄 • 각 point에 label

  9. Partitioning MDS Spaces Using Facet Diagrams • 2개의 축으로 표현 • Positivity로 partitioning 24개의 type이 존재

  10. Partitioning MDS Spaces Using Facet Diagrams • 에러를 최소화 하기 위한 modular partitioning 3개의 Error를 가지고 있는 axial partitioning

  11. Partitioning MDS Spaces Using Facet Diagrams 축 3개와 4개의 면으로 이루어진 4D MDS space Number (without error)와 variability(two error) 추가

  12. Prototypical Roles of Facets • 3가지 prototypical roles • Multiplex • Duplex : two axial facets • Triplex : three axial facets

  13. Criteria for Choosing Regions • Regions의 pattern을 의미가 통하도록 분활 • Partitioning하기 위해서 • 확실한 사항을 사용 • 너무 특정한 샘플을 사용하지 않는다 • Simple Partitioning – (Surely) • 축 or 각진 모형 • Circumplex의 중심 부근 • Computerized method for partitioning facet diagrams in three ways – (Shye) • In an axial way • In a modular way • In a polar way

  14. Regions and Theory Construction • 정의와 data는 밀접하게 연관성 있는 hypotheses의 특정한 point 뿐 아니라 관련된 각각의 point와 상호작용하는 partnership이다 • 반복 실험(관련성과 경험)으로 Regional의규칙을 규명하는데 충분치 않다 • Regional pattern 예측 요구는 facet에 framework를 명확하게 정의 하는 역할을 한다

  15. Regions, Clusters and Factors • Clusters • Regions • Factor analysis • 변수들 간의 상관 관계를 고려하여 서로 유사한 변수들 끼리 묶어주는 방법

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