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K Means Clustering K means is an iterative clustering algorithm that aims to find local maxima in each iteration.
Sep 19, 2024
Abstract: Clustering and classification are independent methods of data mining. This paper compares relative merits of two methods.
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Abstract—Clustering and classification are independent methods of data mining. This paper compares relative merits of two methods. And then try to integrate�...
Jan 31, 2020In this work, we propose iterative classification as a method to bo ost the clustering quality (eg, accuracy) of short texts.
In this paper, we propose the boost-clustering algorithm which constitutes a novel clustering methodology that exploits the general principles of boosting.
Jan 31, 2020For datasets with fewer clusters, the clustering methods based on the iterative classification perform significantly better than GSDPMM and�...
May 26, 2020We introduce iterative classification as a method that improves the clustering quality of different baseline clustering methods on various short�...
Jun 26, 2024K-means is an iterative, centroid-based clustering algorithm that partitions a dataset into similar groups based on the distance between their�...
The proposed Iterative Combining Clusterings Method (ICCM) processes iteratively the entire dataset, where each iteration is based on two steps framework. In�...
Jan 31, 2022We introduce a general iterative cluster (GIC) algorithm that improves the proximity matrix and clusters of the base RF.