On the effectiveness of parzen window classifier

Informatica (Netherlands)

Volumn 2, Issue 3, 1991, Pages 434-454

  Raudys, S ^a  

^a LITHUANIAN ACADEMY OF SCIENCES   (Lithuania)

Author keywords

Classification error; Kernel function; Parzen window elascifier; Probability density function; Probability of misclassification; Smoothing parameter; The density estimate

Indexed keywords

EID: 84974765217     PISSN: 08684952     EISSN: None     Source Type: Journal    
DOI: 10.3233/INF-1991-2307     Document Type: Article

References (6)

1. Jain, A.K., and M.D. Ramaswami (1988). Classifier design with Parzen windows. In E.S. Gelsema and L.N. Kanal (Eds.), Pattern Recognition and Artificial Intelligence, Elsevier SSiPubl., pp. 211-228.
2. Ceponis, K. (1986). Experimental comparison of transformations approximating the distribution of initial features to the Gaussian distribution in discriminant analysis using real data. In Statistical Problems of Control, Vol.74. Inst. Math. Cyb. Press, Vilnius, pp. 67-75.
3. Fukunaga K. (1972). Introduction to Statistical Pattern Recognition. N.Y. Academic Press, New York.
4. Raudys, S., and Pikelis, V. (1972). On dimensionality, sample size, classification error and complexity of classification algorithm in recognition. IEEE Trans, on Pattern Analysis and Machine Intelligence, PAMI-2(2), 242-252.
5. Raudys, S. (1977). On the accuracy of some estimates of the multivariate density function. Trans, of 7th Prague Conf. on Information Theory, A, Publ. House of the Czekoslovak Acad, of Sciences, Prague. 429-439.
6. Skurikhina, M. (1990). Effect, of the kernel function form on the quality of nonparametric Parzen window classifier. In Statistical Problems of Control, Vol.93. Inst. Math. Cyb. Press, Vilnius, pp. 167-181.