An Improved Weighted Base Classification for Optimum Weighted Nearest Neighbor Classifiers
نویسندگان
چکیده
منابع مشابه
Nearest Neighbor Classification with Improved Weighted Dissimilarity Measure
The usefulness and the efficiency of the k nearest neighbor classification procedure are well known. A less sophisticated method consists in using only the first nearby prototype. This means k=1 and it is the method applied in this paper. One way to get a proper result is to use weighted dissimilarities implemented with a distance function of the prototype space. To improve the classification a...
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Weighted nearest-neighbor classification is analyzed in terms of squared error of class probability estimates. Two classes of algorithms for calculating weights are studied with respect to their ability to minimize the first-order term of the squared error: local linear regression and a new class termed regularized linear interpolation. A number of variants of each class are considered or propo...
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The Internet provides easy access to a kind of library resources. However, classification of documents from a large amount of data is still an issue and demands time and energy to find certain documents. Classification of similar documents in specific classes of data can reduce the time for searching the required data, particularly text documents. This is further facilitated by using Artificial...
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The nearest neighbor classification is a simple and effective technique for pattern recognition. The performance of this technique is known to be sensitive to the distance function used in classifying a test instance. In this paper, we propose a technique to learn sample weights via maximizing classification consistency. Experimental analysis shows that the distance trained in this way enlarges...
متن کاملAn Improved K-Nearest Neighbor with Crow Search Algorithm for Feature Selection in Text Documents Classification
The Internet provides easy access to a kind of library resources. However, classification of documents from a large amount of data is still an issue and demands time and energy to find certain documents. Classification of similar documents in specific classes of data can reduce the time for searching the required data, particularly text documents. This is further facilitated by using Artificial...
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ژورنال
عنوان ژورنال: ICST Transactions on Scalable Information Systems
سال: 2018
ISSN: 2032-9407
DOI: 10.4108/eai.13-7-2018.163339