Efficient Clustering of high dimensional nonlinear data using modified Denclue algorithm

R.NANDHAKUMAR ,Dr. ANTONY SELVADOSS THANAMANI

Page No: 17-28

Clustering is a data mining task devoted to the automatic grouping of data, based on mutual similarity. Clustering in high-dimensional spaces is a recurrent problem in many domains. It affects time complexity, space complexity, Data Size Adaptability and Precision Value of clustering methods. High-dimensional data usually live in different low dimensional subspaces hidden in the original space. As high‐dimensional objects appear almost alike, new approaches for clustering are required. Consequently, recent research has focused on developing techniques and clustering algorithms specifically for high‐ dimensional data.

Citations

APA: R.NANDHAKUMAR ,Dr. ANTONY SELVADOSS THANAMANI (2025). Efficient Clustering of high dimensional nonlinear data using modified Denclue algorithm. DOI: 10.86493/OTJ.2332303

AMA: R.NANDHAKUMAR ,Dr. ANTONY SELVADOSS THANAMANI. Efficient Clustering of high dimensional nonlinear data using modified Denclue algorithm. 2025. DOI: 10.86493/OTJ.2332303

Chicago: R.NANDHAKUMAR ,Dr. ANTONY SELVADOSS THANAMANI. "Efficient Clustering of high dimensional nonlinear data using modified Denclue algorithm." Published 2025. DOI: 10.86493/OTJ.2332303

IEEE: R.NANDHAKUMAR ,Dr. ANTONY SELVADOSS THANAMANI, "Efficient Clustering of high dimensional nonlinear data using modified Denclue algorithm," 2025, DOI: 10.86493/OTJ.2332303

ISNAD: R.NANDHAKUMAR ,Dr. ANTONY SELVADOSS THANAMANI. "Efficient Clustering of high dimensional nonlinear data using modified Denclue algorithm." DOI: 10.86493/OTJ.2332303

MLA: R.NANDHAKUMAR ,Dr. ANTONY SELVADOSS THANAMANI. "Efficient Clustering of high dimensional nonlinear data using modified Denclue algorithm." 2025, DOI: 10.86493/OTJ.2332303