On kinase inhibitor EPZ-5676 the other hand, since features may not be equally effective for classification, Discriminant Adaptive Nearest Neighbor (DANN) uses a locally weighted distance measurement scheme to compute the distance between two points [8]. The accuracy of KNN and its two variants, Local KNN and DANN, were examined by Bicego [9]. These three KNN-based methods were comparable on the examined data sets regardless of the computational cost.The methods of dimensionality reduction, such as Principal Component Analysis (PCA) and Linear Discrimination Analysis (LDA), seek to reduce the data size required for classification. PCA is an unsupervised method, which finds a set of orthogonal projection directions that capture the largest amount of variation in data without using the class information of the data.
On the other Inhibitors,Modulators,Libraries hand, LDA makes use of the class labels to find a lower-dimensional vector space for best class separation. For example, a 100% classification rate was achieved by LDA for classification of different tomato maturity states and different qualities of green tea samples [10,11]. The study in [12] indicates that PCA could yield superior classification results when a small training set is used. However, traditional classification Inhibitors,Modulators,Libraries methods would require significant computational cost if the sensor number is large.Regression analysis is a statistical data analysis approach which seeks a continuous fitting function of independent variables to model the dependent variables. The Least-Squares Inhibitors,Modulators,Libraries method can be used to find such fitting function by minimizing the sum of squared differences between each of the known data point and the fitting function.
The NASA��s Jet Propulsion Laboratory (JPL) used a set of self-developed polymer composite sensors to quantify single and mixed contaminants [13,14]. A second order polynomial regression based on the assumption of additive linearity was used to model the relationship between the gas concentration Inhibitors,Modulators,Libraries vector and the sensor responses. Carmel et al. [15] took the same assumption and further Dacomitinib considered the relative influence of each component on the total mixture response. The modified model provided a promising result when more than two components were present in the examined mixture.Although the classification methods represent a promising technology for analyzing electronic nose data, its applications are mainly focused on discrimination between different odors.
Moreover, odors containing the same components but with different mixing ratios are generally perceived as different smells. For this reason, a traditional classification Vandetanib mechanism method will not be applicable for differentiating the smells. A more practical solution is to partition the odor space into subspaces and classify an odor into one of the subspaces. This paper adopts a supervised strategy to categorize the mixed odor dataset into several groups according to the components.