K-Medoid Clustering Shows Negative Impact In Missing Data Imputation
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2013, Vol 2, Issue 1
Abstract
Missing Data Imputation imputes the missing values from the known values. Rather than imputing from the whole dataset, imputation techniques are applied in the clusters generated by using clustering algorithm. In this paper, K-Medoid clustering is used. But when compared the results in terms of accuracy, it seems that K-Medoid clusters are not suited for Missing Data Imputation.
Authors and Affiliations
R Malarvizhi, Dr. Antony Selvadoss Thanamani
Keywords
Related Articles
- EP ID EP27534
- DOI -
- Views 407
- Downloads 7
Self-assured Data Arrangement within Information Exhaustive Wireless Sensor Correlation
In the corpulent number of outgrowing viable environment each and everything depends on the other sources to transmit the data securely and maintain the data as well in the familiar medium. Transferable nodes in mili...
Biometric Security Techniques For IRIS Recognition System
Iris recognition is an automated method of biometric identification that uses mathematical patternrecognition techniques on video images of the irides of an individual's eyes, whose complex random patterns are unique...
A New Filtering Technique for denoising Speckle Noise from Medical Images Based on Adaptive and Anisotropic Diffusion Filter
This is a preliminary study and the objective of this study has been to compare the performance of some of the primitive and fundamentally different post acquisition image enhancement algorithms as applied to differen...
A Novel approach on ɸ - Disposition Pulse Width Modulation for Modular Multilevel Inverter
In this project implemented a novel approach in the modulation technique based on selective virtual loop mapping, to attain dynamic capacitor voltage balance without any compensated signal.An improvised proposed metho...
Estimating the qos parameters and enhancing performance by implementing cluster head in MANET
In the MANET each node communicates with the other node temporarily and stops all the communication when all the data transfers done. Clustering (used in MANET) provides an effective way to allocate wireless channels...