An Approach to Clustering Models Estimation

• Published in: 2018 22nd Conference of Open Innovations Association (FRUCT) Vol. 426; no. 22; pp. 19 - 24
• Main Authors: Baimuratov, Ildar R., Zhukova, Nataly A.
• Format: Conference Proceeding Journal Article
• Language: English
• Published: FRUCT Oy 01.05.2018; FRUCT
• Subjects: Adjusted mutual information; Calinski-Harabasz index; Cluster analysis; Clustering algorithms; Entropy; Estimation; Indexes; Information theory; K-means; Kullback-Leibler divergence; Partitioning algorithms; Probability distribution; Systematics; Task analysis

There are numerous clustering algorithms and clustering quality criteria present at the moment. According to clustering tasks, different criteria can be used as a ground for choosing one or another clustering model. But choosing of clustering quality criteria is in turn not based on any formal appro...