شماره ركورد كنفرانس :
3140
عنوان مقاله :
Clustering and discrimination of multivariate stationary processes : Comparsion time domain and spectral domain
عنوان به زبان ديگر :
Clustering and discrimination of multivariate stationary processes : Comparsion time domain and spectral domain
پديدآورندگان :
Akbari Ghalehsari NaEsimeh نويسنده Department of statistics - Faculty of Sciences - Golestan University - Gorgan , Azimimohseni Majid نويسنده Department of statistics - Faculty of Sciences - Golestan University - Gorgan , Khalafi Mahnaz نويسنده Department of statistics - Faculty of Sciences - Golestan University - Gorgan
كليدواژه :
Principal component , Cluster Analy rimination , Spectral density , Autocorrelation function
عنوان كنفرانس :
يازدهمين كنفرانس آمار ايران
چكيده لاتين :
Clustering and discrimination are very important aspects in multivariate statistical analysis. The classical methods of clustering and discrimination can also be employed for classification of multivariate stationary process with using some specific distance functions. We mention here the common methods of clustering and discrimination in both time domain and spectral domain and through a case study we compare these methods together.
شماره مدرك كنفرانس :
4219389
