Clustering explores meaningful patterns in the non-labeled data sets. Cluster Ensemble
Selection (CES) is a new approach, which can combine individual clustering results for …

This research introduces a new strategy in cluster ensemble selection by using
Independency and Diversity metrics. In recent years, Diversity and Quality, which are two …

The purpose of selective clustering ensemble is to select a subset of base clustering
partitions with predictive performance and combine these partitions into more accurate and …

The Wisdom of Crowds, an innovative theory described in social science, claims that the
aggregate decisions made by a group will often be better than those of its individual …

Recently, researchers proposed heuristic frameworks which are based on the Wisdom of
Crowds in order to evaluate and select the basic results. In these methods, basic results are …

در سال‌های اخیر، پژوهشگران، روش‌های مکاشفه‌ای مبتنی بر نظریه خرد جمعی را به‌منظور ارزیابی و
انتخاب نتایج به‌دست آمده از خوشه‌بندی‌های پایه پیشنهاد کردند. در این‌روش‌ها، نتایج خوشه‌بندی با …‎

P is Partitional result. M is Modular result. z is sum of all cells in the matrix M (𝑚=∑ 𝑀,-+). 𝑐,
and 𝑐-are the number of classes for the i-th and j-th instances in the P. 𝜎,, 𝜎-show the …

Clustering explores meaningful patterns in the non-labeled data sets. Cluster Ensemble
Selection (CES) is a new approach, which can combine individual clustering results for …