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It introduces the association rules correlation theory in detail, and analysis the classical Apriori algorithm performance, makes the improvement to it. Before the natural connection to generate the candidate set, conducting a pruning process based on the concept lattice similarity, to reduce the number of connected set, thus to reduce the generation of candidate item sets size, to reduce the number...
The standard FCM is sensitive to noise deficiencies. To solve this problem, this paper presents an adaptive FCM algorithm. By way of combining cluster validity function into FCM algorithm, the adaptive identification of the cluster Numberc can be realized The experimental results show that, the improved algorithm is a robust and efficient remote sensing image ossification method
The traditional KNN algorithm for text classification has some insufficiencies, an improved KNN algorithm has been presented in this paper. By use of the clustering center vector, we put the distance of the be classified text and the text category into the similarity calculation formula, and take the ratio of the number of common features appear in two texts and the maximum number of respective features...
Aiming at tracking Closely Spaced Objects (CSO) from Infrared (IR) images, an algorithm is proposed based on probability hypothesis density (PHD) filter incorporating the signal amplitude feature. With the influence of the Point Spread Function (PSF) and limited resolution of IR Focal Plane Array (FPA) resulting in unresolved measurements problem, an image preprocessing is firstly used to detect and...
To solve the problem of prediction accurately cost in software cost estimation, a new method of software project life cycle cost estimate algorithms was proposed, based on Fuzzy rules dealt with multi-level discrete neural network structure and HCM clustering algorithms. A new software projects were divided into two apart: with similarity and without similarity. For the cost of former, fuzzy clustering...
Spatial clustering is one of the important tasks of data mining, particle swarm optimization(PSO) algorithm has fast convergence and global optimization ability of the search features. In this paper, we present a Particle Swarm Optimization (PSO) clustering algorithm based on similarity, and improve the corresponding fitness function. Contrary to using Euclidean distance, this algorithm performs a...
Currently, since the robustness and anti-interfernce performance of mining method of vehicle failure are weak, the accuracy of failure mining is low. To solve the problem, this paper put forward a new mining technology of vehicle failure based on resisting the interference from the exterior. Through accurately building vehicle model, establishing search model of vehicle characteristic point, dealing...
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