Quantum clustering — A novel method for text analysis
2014
The article introduces quantum clustering inspired from the quantum mechanics and extended to text analysis. This novel method upgrades the nonparametric density estimation and, different from the latter, quantum clustering constructs the potential function to determine the cluster center instead of the Gaussian kernel function. The result of a comparative experiment proves the advantage of quantum clustering over the conventional Parzen-window, and the further trial on authorship identification illustrates the wide application scope of this novel method.
Keywords:
- Gaussian function
- Pattern recognition
- Artificial intelligence
- Machine learning
- Cluster analysis
- Density estimation
- Correlation clustering
- Quantum phase estimation algorithm
- Quantum statistical mechanics
- Quantum
- Mathematics
- Text mining
- quantum clustering
- Kernel (linear algebra)
- Computer science
- Theoretical computer science
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