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- W2149707605 abstract "This paper intends to propose an advanced clustering method, ant colony ISODATA algorithm (ACIA) in real time computer simulation. Ant colony algorithm is used as the method of cursory clustering based on ants piling up their corpses and classifying their young ones. ISODATA algorithm is applied to meticulous clustering. This algorithm has been implemented and tested on several simulated data sets. At the same time, the performance efficiency of ACIA is analyzed based on four parameters :intracluster dissimilarity degree, intercluster dissimilarity degree, misclassification rate and CPU performance time. The computational results show that it is better than three other algorithms: ant colony K-means algorithm (ACKA), ant colony genetic algorithm (ACGA) and genetic K-means algorithm (GKA)." @default.
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- W2149707605 date "2007-12-01" @default.
- W2149707605 modified "2023-09-25" @default.
- W2149707605 title "Software-Based Non-invasive Geometric Correction of Projector" @default.
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- W2149707605 doi "https://doi.org/10.1109/dmamh.2007.71" @default.
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