Improved KNN Algorithm Based on Preprocessing of Center in Smart Cities

An Improved KNN Text Classification Algorithm Based on Clustering

The traditional KNN text classification algorithm used all training samples for classification, so it had a huge number of training samples and a high degree of calculation complexity, and it also didn’t reflect the different importance of different samples. In allusion to the problems mentioned above, an improved KNN text classification algorithm based on clustering center is proposed in this ...

International Challenges of Smart Cities

The world’s urban population is expected to be proliferated due to raised use of energy, increased air pollution, increasing traffic in urban areas, increasing usage of food, and reduced food production. There are numerous available solutions in this field, but achieving smart cities is one the furthermost effective ways. Smart city has improved ICT infrastructure as a versatile, reliable, chan...

Improved Evidence Theoretic kNN Classifier based on Theory of Evidence

An Improved KNN Algorithm for Imbalanced Data Based on Local Mean

KNN algorithm is a simple, effective, non-parametric classification, and has been widely used in text classification, pattern recognition, image and spatial classification. Research on improvements about KNN algorithm has broad application prospects and important scientific significance. Based on analysis about classic KNN and its improved algorithms, we find its over-reliance on the choice of ...

Rule-Based Context Assessment in Smart Cities

Requirements: • The situations in which users perform their activities in urban spaces are characterized by various types of context. • The same piece of information may have different levels of significance for people acting in specific roles. People in specific situations Relevant Information The ambulance approaching to the incident spot An traffic alert The ambulance engaged in the rescue a...