CLUSTERS OF AYURVEDIC MEDICINES USING IMPROVED K-MEANS ALGORITHM
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER SCIENCE AND ELECTRONICS ENGINEERING
Author(s): MEGHANA NAGORI , KAJAL C. AGRAWAL
Abstract: Clustering analysis method is one of the main analytical methods in data mining, the method of clustering algorithm will influence the clustering results directly. This paper discusses the importance of Ayurveda, standard k-means and improved k-means clustering algorithm and its implementation to form clusters of ayurvedic medicine for four disease. The improved method avoids computing the distance of each data object to the cluster centers repeatedly.
- Publication Date: 24-Feb-2013
- DOI: 10.15224/978-981-07-5461-7-18
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THE USE OF FUZZY LOGIC FOR EFFECTIVE GATE OPENING CONTROL IN DAMS
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER SCIENCE AND ELECTRONICS ENGINEERING
Author(s): PURVA SONTAKKE , AMEYA CHOUDHARY
Abstract: This paper endeavours to provide a solution to the manual adjustment of gate opening settings due to silting on the dam bed. The sources of silting in the catchment area and the rainfall statistics in the region can give a probabilistic model sufficient to develop a fuzzy logic for the effective control of gate opening without manual intervention and prevent wastage of water.
- Publication Date: 24-Feb-2013
- DOI: 10.15224/978-981-07-5461-7-19
- Views: 0
- Downloads: 0