Results 211 to 220 of about 1,411,725 (266)
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2023
Principal to Principal: Conversations in Servant Leadership, is an expanded edition of the original, published by Rowman and Littlefield in 2008. The book tells the story of a recently retired principal (John), who walks a first year principal (Linda) through her first year in serving a school.
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Principal to Principal: Conversations in Servant Leadership, is an expanded edition of the original, published by Rowman and Littlefield in 2008. The book tells the story of a recently retired principal (John), who walks a first year principal (Linda) through her first year in serving a school.
openaire +1 more source
Principal Components and Principal Clusters
Journal of Information and Optimization Sciences, 1987Abstract The use of principal components to reduce the number of dimensions so that graphieal representation of the data is possible has been developed. One. of the most important applications is the connexion with cluster analysis. It has not been defined the criteria by which to decide whether there is any justification for dividing a set of ...
Haruo Miyazaki, Youichi Seki
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Principal feature classification
IEEE Transactions on Neural Networks, 1997The concept, structures, and algorithms of principal feature classification (PFC) are presented in this paper. PFC is intended to solve complex classification problems with large data sets. A PFC network is designed by sequentially finding principal features and removing training data which has already been correctly classified. PFC combines advantages
Q, Li, D W, Tufts
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Principal-principal conflicts during crisis
Asia Pacific Journal of Management, 2010This paper explores principal-principal conflicts in corporate governance during times of economic crisis. We address the question: What external and internal governance mechanisms can best protect minority shareholders? Drawing on 877 publicly listed large corporations with concentrated ownership in seven Asian countries and regions, we compare ...
Jiang, Y., Peng, Mike
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2008
Principal to Principal: Conversations in Servant Leadership and School Transformation takes the reader into the real world of school leadership, as a retiring elementary principal and his successor engage in a 12-month mentoring partnership. Packed with emotion and the complexities of the twenty-first century school, the story weaves in and out of the ...
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Principal to Principal: Conversations in Servant Leadership and School Transformation takes the reader into the real world of school leadership, as a retiring elementary principal and his successor engage in a 12-month mentoring partnership. Packed with emotion and the complexities of the twenty-first century school, the story weaves in and out of the ...
openaire +1 more source
2012
Principal components analysis (PCA) is a standard tool in multivariate data analysis to reduce the number of dimensions, while retaining as much as possible of the data's variation. Instead of investigating thousands of original variables, the first few components containing the majority of the data's variation are explored.
Groth, D. +3 more
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Principal components analysis (PCA) is a standard tool in multivariate data analysis to reduce the number of dimensions, while retaining as much as possible of the data's variation. Instead of investigating thousands of original variables, the first few components containing the majority of the data's variation are explored.
Groth, D. +3 more
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From Principal Curves to Granular Principal Curves
IEEE Transactions on Cybernetics, 2014Principal curves arising as an essential construct in dimensionality reduction and data analysis have recently attracted much attention from theoretical as well as practical perspective. In many real-world situations, however, the efficiency of existing principal curves algorithms is often arguable, in particular when dealing with massive data owing to
Hongyun, Zhang +3 more
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