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Los algoritmos de clustering de tipo c-means son sensibles a los valores de inicialización de los centroides y pueden quedar atrapados en extremos locales. Planteado en estos términos, el uso de enfoques aproximados pa...

Optimal resource allocation is an important issue in computer network administration. One of these problems involves finding an optimal route to transport certain traffic from a source node to a destination node. For me...

El problema inverso al resuelto por la suma de Minkowski se refiere a la descomposición de polígonos en suma de Minkowski. Este problema, que denominamos SMINK-1, puede resolverse con un algoritmo de complejidad expone...

Los algoritmos Genéticos, y su generalización: los Algoritmos Evolucionarios; presentan una alternativa para solucionar problemas de optimización complejos. Si bien entenderlos es sumamente sencillo, debido a que se a...

Evolutionary computation (EC) has been recently recognized as a research field, which studies a new type of algorithms: Evolutionary Algorithms (EAs). These algorithms process populations of solutions as opposed to most ...

"Learning the bayesian network structure from a database is an NP-Hard problem for which the existent learning algorithms generally have exponential complexity. During this work in the Master, I did a bibliographic resea...

Processor and network management have a great impact on the performance of Distributed Memory Parallel Computers. Dynamic Process Migration allows load balancing and communication balancing at execution time. Managing th...

This paper provides a theoretical framework for analysis of consensus algorithms for multi-agent networked systems with an emphasis on the role of directed information flow, robustness to changes in network topology due ...

We propose and study a set of algorithms for discovering community structure in networks-natural divisions of network nodes into densely connected subgroups. Our algorithms all share two definitive features: first, they ...

1 Introduction 1.1 What is Data Mining? 1.2 Motivating Challenges 1.3 The Origins of Data Mining 1.4 Data Mining Tasks 1.5 Scope and Organization of the Book 1.6 Bibliographic Notes 1.7 Exercises 2 Data 2.1 Types of Data...

Subjects / keywords: Algorithms

Subjects / keywords: Algorithms; Logic, Symbolic and mathematical

Subjects / keywords: Algorithms; Study and teaching; Logic, Symbolic and mathematical

Subjects / keywords: Algorithms; Problems, exercises, etc; Electronic books

Subjects / keywords: Computer algorithms; Databases; Data structures (Computer science); Structured programming

Subjects / keywords: Computer programming; Computer algorithms; Electronic books

Subjects / keywords: Computer programming; Computer algorithms; Electronic books

Subjects / keywords: Computer programming; Programming languages (Electronic computers); Computer algorithms; Electronic data processing

Subjects / keywords: Computer algorithms; Computer software; Development; Electronic books

Subjects / keywords: Algebras, Linear; Algorithms; Electronic books

Subjects / keywords: Python (Computer program language); Data structures (Computer science); Computer algorithms

Subjects / keywords: Logic programming; Computer algorithms; Electronic books

Subjects / keywords: Nonlinear programming; Algorithms; Algebraic functions; Electronic books

Subjects / keywords: Logic programming; Algorithms; Software engineering