Title :
A New Suggestion for Data Clustering
Author :
Bhooshan, Sunil ; Kumar, Vinay ; Gayawar, Gaurav ; Krishna, Sah Geetansh ; Sachdeva, Kapil
Author_Institution :
Dept. of Electron. & Commun. Eng., Jaypee Univ. of Inf. Technol., Solan, India
Abstract :
This paper introduces a new method for data clustering.This method is proposed to divide data into clusters or regions. Different regions or clusters, which are used to calculate code words, have been designed by using the line of symmetry approach. This line of symmetry is rotated by a predefined angle to divide the complete data set into small clusters. These codewords are then used to represent the complete data set. The algorithm discussed is for lossy data compression.
Keywords :
data compression; pattern clustering; codeword; data clustering; line-of-symmetry approach; lossy data compression; Cepstral analysis; Clustering algorithms; Data engineering; Information science; Iterative algorithms; Machine learning algorithms; Nearest neighbor searches; Signal processing; Signal processing algorithms; Vector quantization; Data Clustering; Vector Quantization; k-means algorithm;
Conference_Titel :
Computer and Information Science, 2009. ICIS 2009. Eighth IEEE/ACIS International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3641-5
DOI :
10.1109/ICIS.2009.160
