Title :
A clustering algorithm for vector valued processes
Author :
Porter, William A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Alabama Univ., Huntsville, AL, USA
Abstract :
Using a metric criteria, and with no prior information, the author determines the existence of clusters in the set X. He also determines the number of clusters, the cluster membership of each point of X, and consequently a disjoint decomposition of X. He considers whether, if X is a moving window on a possibly infinite data stream, these matters can be resolved online. A methodology is presented for solving the issues posed above. The design has features which are compatible with VLSI technology and, in particular, systolic array implementation. The performance of the design is partially evaluated using a simulation testbed
Keywords :
VLSI; pattern recognition; set theory; systolic arrays; clustering algorithm; infinite data stream; metric criteria; moving window; systolic array implementation; vector valued processes; Clustering algorithms; Couplings; Data engineering; Pattern recognition; Space technology; Stochastic processes; Synthetic aperture sonar; Systolic arrays; Testing; Very large scale integration;
Conference_Titel :
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location :
New Orleans, LA
DOI :
10.1109/ISCAS.1990.112393