Stabilized Nearest Neighbor Classifier and its Statistical Properties

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Stabilized Nearest Neighbor Classifier and Its Statistical Properties

Stability has been of a great concern in statistics: similar statistical conclusions should be drawn based on different data sampled from the same population. In this article, we introduce a general measure of classification instability (CIS) to capture the sampling variability of the predictions made by a classification procedure. The minimax rate of CIS is established for general plug-in clas...

متن کامل

Center-based nearest neighbor classifier

In this paper, a novel center-based nearest neighbor (CNN) classifier is proposed to deal with the pattern classification problems. Unlike nearest feature line (NFL) method, CNN considers the line passing through a sample point with known label and the center of the sample class. This line is called the center-based line (CL). These lines seem to have more capacity of representation for sample ...

متن کامل

Probabilistic characterization of nearest neighbor classifier

The k-Nearest Neighbor classification algorithm (kNN) is one of the most simple yet effective classification algorithms in use. It finds major applications in text categorization, outlier detection, handwritten character recognition, fraud detection and in other related areas. Though sound theoretical results exist regarding convergence of the Generalization Error (GE) of this algorithm to Baye...

متن کامل

Iterative improvement of a nearest neighbor classifier

In practical pattern recognition applications, the nearest neighbor classifier (NNC) is often applied because it does not require an a priori knowledge of the joint probability density of the input feature vectors. As the number of example vectors is increased, the error probability of the NNC approaches that of the Baysian classifier. However, at the same time, the computational complexity of ...

متن کامل

Evidential Editing K-Nearest Neighbor Classifier

One of the difficulties that arises when using the K-nearest neighbor rule is that each of the labeled training samples is given equal importance in deciding the class of the query pattern to be classified, regardless of their typicality. In this paper, the theory of belief functions is introduced into the K-nearest neighbor rule to develop an evidential editing version of this algorithm. An ev...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of the American Statistical Association

سال: 2016

ISSN: 0162-1459,1537-274X

DOI: 10.1080/01621459.2015.1089772