Comparing and Selecting Appropriate Measuring Parameters for K-means Clustering Technique

Provided by: International Journal of Soft Computing and Engineering (IJSCE)
Topic: Data Management
Format: PDF
Clustering is a powerful technique for large scale topic discovery from text. It involves two phases: first, feature extraction maps each document or record to a point in a high dimensional space, then clustering algorithms automatically group the points into a hierarchy of clusters. Hence to improve the efficiency & accuracy of mining task on high dimensional data the data must be pre-processed by an efficient dimensionality reduction method. Recently cluster analysis is popularly used data analysis method in number of areas.

Find By Topic