Classification of Locations Using K-Means on Nearby Places

التفاصيل البيبلوغرافية
العنوان: Classification of Locations Using K-Means on Nearby Places
المؤلفون: Harsh Neel Mani, Deepak Arora, Puneet Sharma, Mayank Parashar
المصدر: Advances in Intelligent Systems and Computing ISBN: 9789813343665
بيانات النشر: Springer Nature Singapore, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Value (ethics), Information retrieval, Computer science, k-means clustering, Unsupervised learning, Location
الوصف: The basic importance of classifying locations within a city is to find the best suited place for an individual or an organization. It makes our work easier to find similar areas as per our requirement be it personal or professional. For the experimental setup, the author has selected the geographical location of Lucknow city and has been applied machine learning algorithm to predict the best location as per person’s need. For this experimental setup, author has applied a Python programming language. The experimental results have classified locations into different categories as per the input value of number of categories which found most satisfactory over result from the literature. The author also came to the conclusion that this model helps to analyze business purpose too.
ردمك: 978-981-334-366-5
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::5f592fd69db3c96aebf160cd47011563
https://doi.org/10.1007/978-981-33-4367-2_43
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........5f592fd69db3c96aebf160cd47011563
قاعدة البيانات: OpenAIRE