In this article, we present test results demonstrating that our CP model is an attractive alternative to well-known methods such as K-means and Latent Class (LC) ...

In this article, we present test results demonstrating that our CP model is an attractive alternative to well-known methods such as K-means and Latent Class (LC) ...

Oct 22, 2024 · In this article, we present test results demonstrating that our CP model is an attractive alternative to well-known methods such as K-means and ...

This article illustrates the use of a new formulation for the clique partitioning problem that is readily solvable by basic metaheuristic methodologies such ...

In this article, we present test results demonstrating that our CP model is an attractive alternative to well-known methods such as K-means and Latent Class (LC) ...

We conducted simulation-based comparisons of the latent class, K-means, and K-median approaches for partitioning dichotomous data. Although all three methods ...

The authors compare these two approaches using data simulated from a setting where true group membership is known to indicate that LC substantially outperforms ...

Missing: Clique Partitioning

We conducted simulation-based comparisons of the latent class, K-means, and K-median approaches for partitioning dichotomous data.

This paper provides an overview of the philosophy and considerations of clustering techniques. Current state-of-art clustering methods and extensions were ...