A Review of Nearest Neighbor-Support Vector Machines Hybrid Classification Models
نویسندگان
چکیده
منابع مشابه
Adaptive Nearest Neighbor Classification Using Support Vector Machines
The nearest neighbor technique is a simple and appealing method to address classification problems. It relies on the assumption of locally constant class conditional probabilities. This assumption becomes invalid in high dimensions with a finite number of examples due to the curse of dimensionality. We propose a technique that computes a locally flexible metric by means of Support Vector Machin...
متن کاملImprovement of Nearest-Neighbor Classifiers via Support Vector Machines
Theoretically well-founded, Support Vector Machines (SVM) are well-known to be suited for efficiently solving classification problems. Although improved generalization is the main goal of this new type of learning machine, recent works have tried to use them differently. For instance, feature selection has been recently viewed as an indirect consequence of the SVM approach. In this paper, we al...
متن کاملA comparative study of performance of K-nearest neighbors and support vector machines for classification of groundwater
The aim of this work is to examine the feasibilities of the support vector machines (SVMs) and K-nearest neighbor (K-NN) classifier methods for the classification of an aquifer in the Khuzestan Province, Iran. For this purpose, 17 groundwater quality variables including EC, TDS, turbidity, pH, total hardness, Ca, Mg, total alkalinity, sulfate, nitrate, nitrite, fluoride, phosphate, Fe, Mn, Cu, ...
متن کاملNearest Neighbor Prototyping for Sparse and Scalable Support Vector Machines
Training and evaluating support vector machines (SVMs) when large amounts of training data are available, is computationally expensive: for n data points, exact optimization results in O(n) time and O(n) space complexity if general-purpose solvers are used, while prediction involves storing and accessing a significant subset of the training data, demanding time and space as well. Addressing the...
متن کاملAdaptive Nearest Neighbor Classiication Using Support Vector Machines
The nearest neighbor technique is a simple and appealing method to address classiication problems. It relies on the assumption of locally constant class conditional probabilities. This assumption becomes invalid in high dimensions with a nite number of examples due to the curse of dimensionality. We propose a technique that computes a locally exible metric by means of Support Vector Machines (S...
متن کاملذخیره 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 Applied Sciences
سال: 2010
ISSN: 1812-5654
DOI: 10.3923/jas.2010.1841.1858