Multiclass Core Vector Machine (2007)
S. Asharaf, M. Narasimha Murty, S. K. Shevade
Even though several techniques have been proposed in the literature for achieving multiclass classification using Support Vector Machine(SVM), the scalability aspect of these approaches to handle...
Rough set based incremental clustering of interval data (2006)
Asharaf, S, Murty, Narasimha M, Shevade, SK
This paper introduces a novel incremental approach to clustering interval data. The method employs rough set theory to capture the inherent uncertainty involved in cluster analysis. Our experimental...
Harikumar, R, Raj, M, Paul, A, Harish, K, Kumar, SK, Sandesh, K, ...
Scalable Rough Support Vector Clustering (2006)
Asharaf, S, Shevade, SK, Murty, Narasimha M
In this paper a novel scalable soft support vector clustering algorithm is proposed. Here softness is imparted to Support Vector Clustering paradigm by employing rough set theory and scalability is...
Rough set based incremental clustering of interval data (2006)
Asharaf, S, Murty, Narasimha M, Shevade, SK
This paper introduces a novel incremental approach to clustering interval data. The method employs rough set theory to capture the inherent uncertainty involved in cluster analysis. Our experimental...
Scalable Rough Support Vector Clustering (2006)
Asharaf, S, Shevade, SK, Murty, Narasimha M
In this paper a novel scalable soft support vector clustering algorithm is proposed. Here softness is imparted to Support Vector Clustering paradigm by employing rough set theory and scalability is...
Rough support vector clustering (2005)
Asharaf, S, Shevade, SK, Murty, Narasimha M
In this paper a novel kernel-based soft clustering method is proposed. This method incorporates rough set theoretic flavour in support vector clustering paradigm to achieve soft clustering....
Rough support vector clustering (2005)
Asharaf, S, Shevade, SK, Murty, Narasimha M
In this paper a novel kernel-based soft clustering method is proposed. This method incorporates rough set theoretic flavour in support vector clustering paradigm to achieve soft clustering....
A rough fuzzy approach to web usage categorization (2004)
Asharaf, S, Murty, Narasimha M
This paper introduces a novel clustering scheme employing a combination of rough set theory and fuzzy set theory to generate meaningful abstractions from web access logs. Our experimental results...
A rough fuzzy approach to web usage categorization (2004)
Asharaf, S, Murty, Narasimha M
This paper introduces a novel clustering scheme employing a combination of rough set theory and fuzzy set theory to generate meaningful abstractions from web access logs. Our experimental results...
An adaptive rough fuzzy single pass algorithm for clustering large data sets (2003)
Asharaf, S, Murthy, Narasimha M
Cluster analysis has been widely applied in many areas such as data mining, geographical data processing, medicine, classification of statistical findings in social studies and so on. Most ofthese...
An adaptive rough fuzzy single pass algorithm for clustering large data sets (2003)
Asharaf, S, Murthy, Narasimha M
Cluster analysis has been widely applied in many areas such as data mining, geographical data processing, medicine, classification of statistical findings in social studies and so on. Most ofthese...