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- Publications
- Influence

Fuzzy-rough nearest neighbor algorithms in classification

- M. Sarkar
- Computer Science, Mathematics
- Fuzzy Sets Syst.
- 1 October 2007

In this paper, classification efficiency of the conventional K-nearest neighbor algorithm is enhanced by exploiting fuzzy-rough uncertainty. The simplicity and nonparametric characteristics of the… Expand

Fuzzy-rough nearest neighbors algorithm

- M. Sarkar
- Computer Science
- Smc conference proceedings. ieee international…
- 8 October 2000

In this paper the classification efficiency of the conventional K-nearest neighbors algorithm is enhanced by exploiting the fuzzy-rough uncertainty. The simplicity and nonparametric characteristics… Expand

A clustering algorithm using an evolutionary programming-based approach

- M. Sarkar, B. Yegnanarayana, D. Khemani
- Computer Science, Mathematics
- Pattern Recognit. Lett.
- 1 October 1997

In this paper, an evolutionary programming-based clustering algorithm is proposed. The algorithm effectively groups a given set of data into an optimum number of clusters. The proposed method is… Expand

Characterization of medical time series using fuzzy similarity-based fractal dimensions

This paper attempts to characterize medical time series using fractal dimensions. Existing fractal dimensions like box, information and correlation dimensions characterize the time series by… Expand

Modular pattern classifiers: a brief survey

- M. Sarkar
- Computer Science
- Smc conference proceedings. ieee international…
- 8 October 2000

While solving a complex pattern classification problem, it is often difficult to design a monolithic classifier. One approach is to divide the problem into smaller ones, and solve each subproblem… Expand

Rough-fuzzy functions in classification

- M. Sarkar
- Computer Science, Mathematics
- Fuzzy Sets Syst.
- 16 December 2002

This paper generalizes the concept of rough membership functions in pattern classification tasks to rough-fuzzy membership functions and rough-fuzzy ownership functions. Unlike the rough membership… Expand

Application of K-nearest neighbors algorithm on breast cancer diagnosis problem

This paper addresses the Breast Cancer diagnosis problem as a pattern classification problem. Specifically, this problem is studied using the Wisconsin-Madison Breast Cancer data set. The K-nearest… Expand

Fuzzy K-means clustering with missing values

Fuzzy K-means clustering algorithm is a popular approach for exploring the structure of a set of patterns, especially when the clusters are overlapping or fuzzy. However, the fuzzy K-means clustering… Expand

Feedforward neural networks configuration using evolutionary programming

- M. Sarkar, B. Yegnanarayana
- Computer Science
- Proceedings of International Conference on Neural…
- 9 June 1997

This paper proposes an evolutionary programming based neural network construction algorithm, that efficiently configures feedforward neural networks in terms of optimum structure and optimum… Expand

Rough-fuzzy membership functions

- M. Sarkar, B. Yegnanarayana
- Computer Science
- IEEE International Conference on Fuzzy Systems…
- 4 May 1998

This paper generalizes the concept of rough membership functions in pattern classification tasks to rough-fuzzy membership functions. Unlike the rough membership value of a pattern, which is… Expand