Open AccessH-D and Subspace Clustering of Paradoxical High Dimensional Clinical Datasets with Dimension Reduction Techniques – a Model
Author(s) -
S. Rȧjeswari,
M.S. Josephine,
V. Jeyabalaraja
Publication year - 2016
Publication title -
indian journal of science and technology
Language(s) - English
Resource type - Journals
eISSN - 0974-6846
pISSN - 0974-5645
DOI - 10.17485/ijst/2016/v9i38/101792
Subject(s) - cluster analysis , dimensionality reduction , clustering high dimensional data , computer science , correlation clustering , hierarchical clustering , cure data clustering algorithm , curse of dimensionality , pattern recognition (psychology) , single linkage clustering , canopy clustering algorithm , data mining , dimension (graph theory) , subspace topology , artificial intelligence , mathematics , combinatorics