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@article{149187,
        author = {Shimpli Borkar and Priyal Dharmawat and Sonali Dobhal and Shloka Harne},
        title = {Algorithms Used For Optimizing K-Means For Heart Disease Diagnosis },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {6},
        number = {11},
        pages = {200-204},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=149187},
        abstract = {The heart is a significant organ of the human body. Life is reliant on the proper functioning of the heart. Most of the time is difficult to analyze a patient as a heart patient. For this purpose, data mining can be used to recognize a hidden clinical dataset. In this paper, we study to find ways to optimize the K-Means algorithm by overcoming its drawbacks which may help create a heart disease predicting system by applying it. Here, we present a study on the advanced data mining techniques and hybrid algorithms that could be used to optimize the K-Means and increase the prediction accuracy of the system of Heart disease prediction.},
        keywords = {Heart disease, Data Mining, Clustering, K-Means.},
        month = {},
        }