activity
20142016
most citedA Comparative study Between Fuzzy Clustering Algorithm and Hard Clustering Algorithm

157 citations · 449 across the 7 of their papers we have counts for

collaborators

7 papers

math.DG2016★ 2 cited

Hypersurface of a Finsler space subjected to an h-exponential change of metric

M. K. Gupta, Anil K. Gupta

Recently we have obtained the Cartan connection for the Finsler space whose metric is given by an exponential change with an h-vector. In this paper, we discuss certain geometric p…

math.DG2016

H-exponential change of Finsler metric

M. K. Gupta, Anil K. Gupta

In this paper, we studied a Finsler space whose metric is given by an h-exponential change and obtain the Cartan connection coefficients for the change. We also find the necessary…

cs.CV2015★ 28 cited

A Novel Approach Towards Clustering Based Image Segmentation

Dibya Jyoti Bora, Anil Kumar Gupta

In computer vision, image segmentation is always selected as a major research topic by researchers. Due to its vital rule in image processing, there always arises the need of a bet…

cs.CV2015★ 133 cited

Comparing the Performance of L*A*B* and HSV Color Spaces with Respect to Color Image Segmentation

Dibya Jyoti Bora, Anil Kumar Gupta, Fayaz Ahmad Khan

Color image segmentation is a very emerging topic for image processing research. Since it has the ability to present the result in a way that is much more close to the human yes pe…

cs.CV2014★ 16 cited

Impact of Exponent Parameter Value for the Partition Matrix on the Performance of Fuzzy C Means Algorithm

Dibya Jyoti Bora, Anil Kumar Gupta

Soft Clustering plays a very important rule on clustering real world data where a data item contributes to more than one cluster. Fuzzy logic based algorithms are always suitable f…

cs.LG2014★ 113 cited

Effect of Different Distance Measures on the Performance of K-Means Algorithm: An Experimental Study in Matlab

Mr. Dibya Jyoti Bora, Dr. Anil Kumar Gupta

K-means algorithm is a very popular clustering algorithm which is famous for its simplicity. Distance measure plays a very important rule on the performance of this algorithm. We h…