Weka4OC: Weka for Overlapping Clustering is a GUI extending WEKA
This is a GUI application for learning non disjoint groups based on Weka machine learning framework. It offers a variety of learning methods, based on k-means, able to produce overlapping clusters. The application also contains an evaluation framework that calculates several external validation measures. The application offers a visualization tool to discover overlapping groups.
Various algorithms for data mining in marketing, implemented by students at the Technical University of Sofia
C++ Software framework that supports data-intensive distributed apps.
* EpFamvirproject in this site is not maintained anymore. * The project has been moved to https://github.com/juhgiyo/EpFamvir EpFamvir is a Visual C++ Software framework that supports data-intensive distributed applications.. The features includes: - Famvir Distributed File System - Job Tracker and Task Tracker: the MapReduce Engine For detailed documentation, please download this full document (EPFamvir Documentation.chm) from the "Downloads" Section. * If the documentation file is not visible after finishing download. Solution 1. ** Double-click the .chm file. ** In the Open File-Security Warning dialog box, click to clear the Always ask before opening this file check box. ** Click Open. Solution 2. ** Right-click the CHM file, and then click Properties. ** Click Unblock. ** Double-click the .chm file to open the file.
Iterative implementation for finding shortest distance using kd trees
Iterative implementation of an algorithm for finding the shortest distance between two points using kd trees for further implementation in hardware.
The open platform for high performance computational biology
TALLA AUTOMÁTICA DE PIES PARA AJUSTE DE CALZADO
DOCUMENTACIÓN A PRESENTAR. 1. Memoria preliminar describiendo la tecnología a utilizar y su justificación, planificación de las tareas a realizar y distribución de dichas tareas entre los miembros del grupo. 2. Ejecutable que cumpla los requisitos establecidos en la memoria. 3. Memoria final del proyecto, en el que se incluirá: a. Descripción de la tecnología utilizada y, en el caso de que no coincida con la establecida en la memoria preliminar, justificar el cambio. b. Descripción de los costes computacionales y requisitos tecnológicos. c. Manual de usuario del programa desarrollado. FASES 1. Entrega de la memoria preliminar (límite: 24 de febrero) (1 punto). 2. Entrega del ejecutable (4 puntos) y de la memoria final (3 puntos) (límite: 23 de mayo). 3. Presentación del trabajo (2 puntos) (28 de mayo).
Removes cumbersomeness of BigDecimal and BigInteger of Java.
BigNumber is a powerful tool for Java developers who need to use `BigInteger` and/or `BigDecimal` types from `java.lang.Math`. These two fall under category of bignum libraries. This small library combines these two and provides a convenient, coherent and more capable data type named `Big` from `org.bigNumber.common.models`. This `Big` data type has all the features and capability of both BigInteger and BigDecimal but it there is no need to define separate distinct types for these two type of numbers. There are additional capabilities which `Big` provides to you to work efficiently and comfortably with large numbers. Have fun, get things done.
A tool for finite state machine analysis and synthesis.
glint is a tool facilitating you in development of state-oriented control entities which supposed to be used in very broad areas of programming (e.g. state-oriented network protocols). glint saves you from pondering how your finite state machine should be organized, how many states it should have and what they should mean. You just tell glint how you would like your control entity to operate and glint returns to you the synthesised magic black box which implements the desired logic. Also glint can tell you in regexp style which event sequences your FSM can handle and which are forbidden for it.