Browsing by Subject "Computer algorithms"
Now showing items 1-3 of 3
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Multi-objective genetic algorithm for supervised clustering
; (National Institute of Development Administration, 2018)
Supervised clustering organizes data instances into clusters on the basis of similarities between the data instances as well as class labels for the data instances. Supervised clustering seeks to meet multiple objectives, such as compactness of clusters, homogeneity of data in clusters with respect to their class labels, and separateness of clusters. With these objectives in mind, a new supervised clustering algorithm based on a multi-objective crowding genetic algorithm, named SC-MOGA, is proposed in this thesis. The algorithm searches for ... -
Robust financial trading system with Deep Q Network (DQN)
; (National Institute of Development Administration, 2017)
Forex trading is one of the most attractive areas in finance. However, developing the profitable trading system is not an easy task because it requires extensive knowledge in several areas such as quantitative analysis, financial skills, and computer programming. Trading system expert, as a human, also bring in their own bias to develop the system. The trading system developers will prefer some markets over others, prefer some indicators over others, and prefer some trading time frame over others. Moreover, developing the trading system will also ... -
Supervised growing neural gas algorithm in clustering analysis
; (National Institute of Development Administration, 2007)