Document clustering method using dimension reduction and support vector clustering to overcome sparseness

Keyphrases

• Clustering Methods 100%
• Dimensionality Reduction 100%
• Support Vector Clustering 100%
• Document Clustering 100%
• Document Data 75%
• Patent Documents 50%
• Structured Data 50%
• Machine Learning 25%
• United States 25%
• Machine Learning Techniques 25%
• K-means 25%
• Cluster-based 25%
• Technology Forecasting 25%
• Trademark Office 25%
• Patent Office 25%
• Developing Technology 25%
• News Data 25%
• University of California 25%
• Patent Clustering 25%
• Text Mining Techniques 25%
• Scientific Trends 25%
• Learning Object Repositories 25%
• Statistical Learning Methods 25%
• Clustering Measure 25%
• Sparsity Problem 25%
• Combined Clustering 25%
• Technological Trends 25%
• Silhouette Index 25%

Computer Science

• Support Vector 100%
• Clustering Method 100%
• Document Clustering 100%
• Patent Document 50%
• Structured Data 50%
• Machine Learning 50%
• Learning System 50%
• Sparsity 25%
• Trademark Office 25%
• K-Means Clustering 25%
• Text Mining 25%
• Mining Technique 25%
• United State Patent 25%