Exploració per tema "K-means"
Ara es mostren els items 1-13 de 13
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A novel clustering method for breaking down the symmetric multiple traveling salesman problem
(OmniaScience, 2021-04)
Article
Accés obertPurpose: This study proposes a new two-stage clustering method to break down the symmetric multiple traveling salesman problem (mTSP) into several single standard traveling salesman problems, each of which can then be ... -
Apache Mahout’s k-Means vs. fuzzy k-Means performance evaluation
(Institute of Electrical and Electronics Engineers (IEEE), 2016)
Text en actes de congrés
Accés obertThe emergence of the Big Data as a disruptive technology for next generation of intelligent systems, has brought many issues of how to extract and make use of the knowledge obtained from the data within short times, limited ... -
Comparació de tècniques de clustering en una base de dades de salut
(Universitat Politècnica de Catalunya / Universitat de Barcelona, 2021-06)
Treball Final de Grau
Accés obertLes tècniques de clustering tenen l’objectiu de trobar patrons amagats dins de les dades i, particularment, dividir un conjunt d’observacions en grups acord a un conjunt de mesures. Els primers mètodes es van desenvolupar ... -
Desarrollo de software de previsiones de consumo eléctrico
(Universitat Politècnica de Catalunya, 2022-06-28)
Treball Final de Grau
Accés restringit per decisió de l'autorPor todo esto este proyecto tratará dos puntos, el primero será intentar predecir de la manera más exacta posible el consumo eléctrico que tendrán nuestros clientes mediante una serie de modelos de predicción y segundo ... -
Exploratory analysis of SCADA data from wind urbines using the K-Means clustering algorithm for predictive maintenance purposes
(2023-02-10)
Article
Accés obertProduct maintenance costs throughout the product’s lifetime can account for between 30–60% of total operating costs, making it necessary to implement maintenance strategies. This problem not only affects the economy but ... -
Fraud detection in the purchasing process through unsupervised machine learning techniques
(Universitat Politècnica de Catalunya, 2023-01)
Projecte Final de Màster Oficial
Accés obert
Realitzat a/amb: Applus+Las empresas pierden millones de euros al año por casos de fraude financiero y han utilizado aplicaciones de detección de fraude basadas en reglas, que no suelen ser suficientemente precisas. En el proceso de compras, la ... -
K-means vs Mini Batch K-means: a comparison
(2013-05-17)
Report de recerca
Accés obertMini Batch K-means (cite{Sculley2010}) has been proposed as an alternative to the K-means algorithm for clustering massive datasets. The advantage of this algorithm is to reduce the computational cost by not using all the ... -
Machine learning algorithms for color image segmentation
(Universitat Politècnica de Catalunya / Universitat de Barcelona, 2015-06)
Projecte Final de Màster Oficial
Accés obertThis report presents a complete framework to segment color pictures into regions, classify these regions as "interesting" or "not interesting" and extract color information from the interesting regions. It proposes the ... -
Market Basket analysis in Retail
(Universitat Politècnica de Catalunya, 2017-05)
Projecte Final de Màster Oficial
Accés obertThis Master Thesis memory describes a full end-to-end data science project performed in CleverData, a successful start-up specialized in data mining techniques and analytics tools. This project was performed for one of ... -
Network and e-business centered computing
(Universitat Politècnica de Catalunya, 2010-07-07)
Projecte/Treball Final de Carrera
Accés restringit per acord de confidencialitat
Realitzat a/amb: University of Reading -
On learning mobility patterns in cellular networks
(Springer, 2016)
Text en actes de congrés
Accés restringit per política de l'editorialThis paper considers the use of clustering techniques to learn the mobility patterns existing in a cellular network. These patterns are materialized in a database of prototype trajectories obtained after having observed ... -
Optimization of a truck-drone in tandem delivery network using K-means and genetic algorithm
(Omnia Science, 2016-06)
Article
Accés obertPurpose: The purpose of this paper is to investigate the effectiveness of implementing unmanned aerial delivery vehicles in delivery networks. We investigate the notion of the reduced overall delivery time and energy for ... -
Temperature effects removal from non-stationary bridge–vehicle interaction signals for ML damage detection
(Multidisciplinary Digital Publishing Institute (MDPI), 2023-06)
Article
Accés obertBridges are vital components of transport infrastructures, and therefore, it is of utmost importance that they operate safely and reliably. This paper proposes and tests a methodology for detecting and localizing damage ...