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Principal component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data preprocessing. The data is linearly transformed onto a new coordinate system such that the directions (principal components) capturing the largest variation in the data can be easily identified.
The input–process–output (IPO) model of teams provides a framework for conceptualizing teams. The IPO model suggests that many factors influence a team's productivity and cohesiveness . It "provides a way to understand how teams perform, and how to maximize their performance".
Output after kernel PCA, with a Gaussian kernel. Note in particular that the first principal component is enough to distinguish the three different groups, which is impossible using only linear PCA, because linear PCA operates only in the given (in this case two-dimensional) space, in which these concentric point clouds are not linearly separable.
John Adair developed a model of Action-Centred Leadership comprising 3 interlocking balls in a venn diagram arrangement, labelled Task, Team and Individual on the premise that: the Task can only be performed by the team and not by one person; the Team can only achieve excellent task performance if all the individuals are fully developed
Hofstede's cultural dimensions theory is a framework for cross-cultural psychology, developed by Geert Hofstede. It shows the effects of a society's culture on the values of its members, and how these values relate to behavior, using a structure derived from factor analysis. [1] Hofstede's cultural dimensions theory.
The three levels referred to in the model's name are Public, Private and Personal leadership. The model is usually presented in diagram form as three concentric circles and four outwardly directed arrows, with personal leadership in the center. The first two levels – public and private leadership – are "outer" or "behavioral" levels ...
Sparse principal component analysis (SPCA or sparse PCA) is a technique used in statistical analysis and, in particular, in the analysis of multivariate data sets. It extends the classic method of principal component analysis (PCA) for the reduction of dimensionality of data by introducing sparsity structures to the input variables.
A team at work. A team is a group of individuals (human or non-human) working together to achieve their goal.. As defined by Professor Leigh Thompson of the Kellogg School of Management, "[a] team is a group of people who are interdependent with respect to information, resources, knowledge and skills and who seek to combine their efforts to achieve a common goal".