Similarity metric learning for a variable-kernel classifier
Neural Computation
Discriminant Adaptive Nearest Neighbor Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
A robust and scalable clustering algorithm for mixed type attributes in large database environment
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Hierarchical clustering of mixed data based on distance hierarchy
Information Sciences: an International Journal
Information Sciences: an International Journal
Distance Metric Learning for Large Margin Nearest Neighbor Classification
The Journal of Machine Learning Research
Knowledge evolution strategies and organizational performance: A strategic fit analysis
Electronic Commerce Research and Applications
Consolidating SWOT analysis with nonhomogeneous uncertain preference information
Knowledge-Based Systems
DECA: A Discrete-Valued Data Clustering Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
A novel two-level nearest neighbor classification algorithm using an adaptive distance metric
Knowledge-Based Systems
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Recent corporate organizations are significantly more complicated than ever. They are more distributed and networked, as supply chains, virtual organizations and corporate arrangements. By increasing the complexity of the decision making in dynamic competitive environment, managers need relevant strategic plans for their firms. In this paper, a new framework for strategic formulation based on clustering approach has been proposed to cope with these intricacies. After exploring internal and external factors influencing the goals of the organizational departments, the goal-factor matrices are formed based on their correlations. A clustering approach is applied to integrate goal-factor matrices to fulfill incorporate interactions among departments. Strategies would be formulated for clusters instead of departments individually or as organization totally. In fact, management by objective (MBO) has been substituted by management by cluster (MBC). The capability and usefulness of the proposed framework are shown through a case study in National Iranian Oil Company Training Center. Results indicate that the proposed strategic formulation outperforms other approaches and is very promising not only for solving the organization's problem, but also is appropriate for utilizing in other corporate organizations.