Prediction of Real Estate Price Using Clustering Techniques

  • C. Pradeepthi
  • V. J. Vijaya Geetha
  • Somula RamasubbareddyEmail author
  • K. Govinda
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1054)


A standout among the most difficult assignments continuously condition is the expectation of house sales. Understanding the different components that impacts house sales is as much as critical on knowing a technique on the most proficient method to play out the forecast. Henceforth, it is a most extreme important to distinguish the relationship among various properties utilized in the dataset. These datasets can be received from different open databases and information repositories. Even though it has two distinct models (predictive and descriptive) for extracting the data, utilized grouping strategy for existing model, the support for utilizing such technique is clarified in this segment. With respect to the above expressed fundamental facts in this article, we play out the expectation.


Prediction K-means DBSCAN Density-based clustering Farthest first clustering 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • C. Pradeepthi
    • 1
  • V. J. Vijaya Geetha
    • 1
  • Somula Ramasubbareddy
    • 2
    Email author
  • K. Govinda
    • 3
  1. 1.SOETSPMVV UniversityTirupathiIndia
  2. 2.Information TechgnologyVNRVJIETHyderabadIndia
  3. 3.SCOPE SchoolVIT UniversityVelloreIndia

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