Papers Categorical data clustering
“Categorical data clustering” 태그가 달린 논문 4편 · 필터 해제
Estimating the Optimal Number of Clusters in Categorical Data Clustering by Silhouette Coefficient
The problem of estimating the number of clusters (say k) is one of the major challenges for the partitional clustering. This paper proposes an algorithm named k-SCC to estimate the optimal k in categorical data clusterin…
Categorical data clusteringClusteringDensity EstimationOrder is All You Need for Categorical Data Clustering
Categorical data composed of qualitative valued attributes are ubiquitous in machine learning tasks. Due to the lack of well-defined metric space, categorical data distributions are difficult to be intuitively understood…
AllAttributeCategorical data clusteringClusteringCategorical data clustering: 25 years beyond K-modes
The clustering of categorical data is a common and important task in computer science, offering profound implications across a spectrum of applications. Unlike purely numerical data, categorical data often lack inherent …
Categorical data clusteringClusteringSignificance-Based Categorical Data Clustering
Although numerous algorithms have been proposed to solve the categorical data clustering problem, how to access the statistical significance of a set of categorical clusters remains unaddressed. To fulfill this void, we …
Categorical data clusteringClustering