Performance Analysis of Clustering Algorithms in Detecting Outliers
Journal Title: International Journal of Computer Science and Information Technologies - Year 2011, Vol 2, Issue 1
Abstract
This paper presents the analysis of Kmeans and K-Medians clustering algorithm in detecting outliers. Clustering is generally used in pattern recognition where if a user wants to search for some particular pattern, clustering reduces the searching load. The k-means clustering and kmedians clustering algorithm’s performance in detecting outliers are analysed here. K-means clustering clusters the similar data with the help of the mean value and squared error criterion. Kmedians is similar to k-means algorithm but median values are calculated there. Outliers are the one different from norm. If they are not properly detected and handled, they clustering will be affected in a great manner
Authors and Affiliations
Sairam , Manikandan , Sowndarya
Keywords
Related Articles
- EP ID EP113454
- DOI -
- Views 103
- Downloads 0
The Foot Step of mobile network - wireless network architecture
In this paper we discuss a modal of embedded Linux system support wireless network and its management. Wireless networks spread over a large physical area. Physical access of each node in other words signal sending place...
Selecting type of clusters that are most appropriate for capturing overlapping interests of different types of users in personalization tasks using Web Usage Mining
Clustering is one of the most important phase of the web personalization, so selecting proper types of cluster to justify the user interest for creating user profile is again very important. In this paper, we address th...
Performance Analysis of Clustering Algorithms in Detecting Outliers
This paper presents the analysis of Kmeans and K-Medians clustering algorithm in detecting outliers. Clustering is generally used in pattern recognition where if a user wants to search for some particular pattern, cluste...
Fuzzy K-mean Clustering Via J48 For Intrusiion Detection System
Due to fast growth of the internet technology there is need to establish security mechanism. So for achieving this objective NIDS is used. Datamining is one of the most effective techniques used for intrusion detection....
Method to Minimize the Clock Skew and Uniform Clock Distribution using Parallel Port in Pipe Line Based Multi Channel DMA Request Terminal for Frequency Measurement
This paper presents a new wide-range digital speed measurement method with jitter removal technique and using the direct memory access (DMA) terminal count register (TCR). Our work also supports a multi node interfacing...