Results 141 to 150 of about 4,928,656 (192)
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1981
S8 illustrates some of the difficulties inherent with cluster analysis; its aim is to alert investigators to the fact that various algorithms can suggest radically different substructures in the same data set. The balance of Chapter 3 concerns objective functional methods based on fuzzy c-partitions of finite data.
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S8 illustrates some of the difficulties inherent with cluster analysis; its aim is to alert investigators to the fact that various algorithms can suggest radically different substructures in the same data set. The balance of Chapter 3 concerns objective functional methods based on fuzzy c-partitions of finite data.
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Functional Object-Oriented Programming with Object-Gofer
1997Object-Gofer is a small, practical extension of the functional programming language Gofer incorporating the following ideas from the object-oriented community: objects and top level classes, subtype and implementation inheritance, method redefinition, late binding and self type specialization.
Wolfram Schulte, Klaus Achatz
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1973
In this chapter, the feasibility of the primal systeem is related to certain properties of the dual partial objective functions and, the other way round, the feasibility of the dual system is related to certain properties of the primal partial objective functions.
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In this chapter, the feasibility of the primal systeem is related to certain properties of the dual partial objective functions and, the other way round, the feasibility of the dual system is related to certain properties of the primal partial objective functions.
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Objective function‐based clustering
WIREs Data Mining and Knowledge Discovery, 2012AbstractClustering is typically applied for data exploration when there are no or very few labeled data available. The goal is to find groups or clusters of like data. The clusters will be of interest to the person applying the algorithm. An objective function‐based clustering algorithm tries to minimize (or maximize) a function such that the clusters ...
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Modeling the Objective Function
2012The objective function of a mathematical program is what an optimization procedure uses to select better solutions over poorer solutions. For example, if the objective is to maximize profit, then the procedure tries to move in the direction of solutions that increase profit while still remaining feasible. But when the profit depends on a parameter that
Alan J. King, Stein W. Wallace
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1975
Since the early 1940s the field of operations research has played an increasingly important role. A prominent area in this field is that of optimization problems, particularly linear programming (LP). As early as 1939 Kantorovich recognized the importance of LP and made early contributions; but it was G.B.
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Since the early 1940s the field of operations research has played an increasingly important role. A prominent area in this field is that of optimization problems, particularly linear programming (LP). As early as 1939 Kantorovich recognized the importance of LP and made early contributions; but it was G.B.
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly