Fish classification using extraction of appropriate feature set

Feature Extraction for Classification Using Statistical Networks

In a classification problem, quite often the dimension of the measurement vector is large. Some of these measurements may not be important for separating the classes. Removal of these measurement variables not only reduces the computational cost but also leads to better understanding of class separability. There are some methods in the existing literature for reducing the dimensionality of a cl...

Feature Extraction for Spam Classification

E-mail has emerged as one of the primary means of communication used in the world today. Its rapid adoption has left it ripe for misuse and abuse. This came in the guise of Unsolicited Commercial E-mail (UCE) or as it is otherwise known Spam. For a time spam was considered only a nuisance but due mainly to the copious amounts of spam being sent it has progressed from being a nuisance to become ...

[Note] Breast Tissue Classification Using Statistical Feature Extraction Of Mammograms

In this paper authors have made an attempt to classify the breast tissue based on the intensity level of histogram of a mmammogram,Statistical features of a mammogram are extrcted using simple image processing techniques.The proposed scheme uses texture models to capture the mammographic appearance within the breast. Parenchymal density patterns are modeled as a statistical distribution of clus...

Heart Sounds Classification using Feature Extraction of Phonocardiography Signal

The Phonocardiogram (PCG) signals contain very useful information about the condition of the heart. By analyzing these signals, early detection and diagnosis of heart diseases can be done. It is also very useful in the case of infants, where ECG recording and other techniques are difficult to implement. In this paper, a classification method is proposed to classify normal and abnormal heart sou...

Classification of Hyperspectral Data using Best-bases Feature Extraction Algorithms