Comparative Study of Different Feature Selection Algorithm in Small dataset Among KNN, FUZZY & GENETIC Algorithm.
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2012, Vol 1, Issue 7
Abstract
In the earth of curse of dimensionality feature selection acting a very important role in reducing the entire feature collection with the partial subset of features Falling the number of features pave way for a variety of advantaged as well as simplify the assignment. Feature selection means finding the appropriate set of features which will give the majority of it to the solution with minimum or null error rate. Selected features are to be tested with the help of classifiers, so that the separation of selected features can be proved to be most favorable when compared to other features subsets separately as well as a group. Genetic algorithms are now days play a very important role among any other method in selecting the features based on the Theory of Evolution and on the “Survival of the fitness”. It is a heuristic approach. To cooperate with the GA approach we have the classifiers which will go hand in hand to bring out the final set of features along with their calculation accuracy. In this paper we have analyze, classifiers and compare them with their act and the unit of correctness.
Authors and Affiliations
Lal Bahadur Pandey, , Siddharth Choubey,
Keywords
Related Articles
- EP ID EP162054
- DOI -
- Views 113
- Downloads 0
Selective on-demand protocol for finding reliable nodes to form stable paths in ADHOC networks
A wireless adhoc network consists of a group of wireless nodes which can dynamically self-organize themselves into a temporary topology to form a network without using any existing infrastructure. Generally adhoc...
A General Method to Solve All Two-Port Ladder Networks
Solving the two-port ladder networks to determine the parameters such as the driving point impedance, the transfer impedance and the voltage transfer ratio requires writing the given network in the form of KVI an...
Anomaly Exposure in Network Traffic and its collision: a Survey
Antagonistic network traffic is frequently "diverse” from kind traffic in ways that can be classified without knowing the way of the attack. Anomaly exposure is a significant problem that has been investigates wi...
A Survey on Image Mining Techniques for Image Retrieval
Image mining is an expansion of data mining in the field of image processing. Image mining handles with the hidden knowledge extraction, image data association and additional patterns which are not clearly gathered i...
A Comparative Study On Some New Steganographic Techniques
In this paper, we present some new methods and develop techniques with algorithms for hiding text behind the gray scale image. Steganographic technique allows the sender to communicate information to the receiver w...