Improving Performance of Similarity-Based Clustering by Feature Weight Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Improving fuzzy c-means clustering based on feature-weight learning
Pattern Recognition Letters
A comparative study of rough sets for hybrid data
Information Sciences: an International Journal
Information Sciences: an International Journal
A modified Artificial Bee Colony algorithm for real-parameter optimization
Information Sciences: an International Journal
Top-k retrieval for ontology mediated access to relational databases
Information Sciences: an International Journal
Twin Mahalanobis distance-based support vector machines for pattern recognition
Information Sciences: an International Journal
Multi-sensor data fusion using support vector machine for motor fault detection
Information Sciences: an International Journal
Efficient stochastic algorithms for document clustering
Information Sciences: an International Journal
A unified data mining solution for authorship analysis in anonymous textual communications
Information Sciences: an International Journal
Mining numerical association rules via multi-objective genetic algorithms
Information Sciences: an International Journal
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In this paper, we present experimental data on the resistance, capacity, and life cycle of lithium iron phosphate batteries collected by conducting full life cycle testing on one type of lithium iron phosphate battery, and we analyse that data using the data mining method of pattern recognition. We also predict battery reliability using cluster analysis. A strategy for enhancing the reliability of lithium iron phosphate batteries is proposed based on a statistical analysis and study of the macromechanism of product failures. We show in practice that the average life cycle of a battery is increased by 45.5% after adopting a new strategy that we suggest. The strategy is effective for mass-producing reliable lithium iron phosphate batteries and instructive for improving the industry of lithium iron phosphate battery production, as well as the quality of its products.