| 摘要 |
<p>[0051] THE PRESENT INVENTION PROVIDES A METHOD OF CLUSTERING DATA POINTS IN A MULTI-DIMENSIONAL FEATURE SPACE. THE METHOD COMPRISES FORMING (301) A PRINCIPLE AXIS BENDING GAUSSIAN MODEL TO GROUP THE DATA POINTS ALONG A CURVED PRINCIPLE AXIS ON A ORTHOGONAL PLANE; CARRYING OUT (302) A FUZZY C-MEANS FOR LOCATING CLUSTER CENTERS OF THE PRINCIPLE AXIS BENDING GAUSSIAN MODEL; AND PERFORMING (303) ITERATIVELY EXPECTATION-MAXIMIZATION (EM) ALGORITHM TO UPDATE AND OPTIMIZE THE CLUSTER CENTERS. [0052]</p> |
