Supervised and Unsupervised Model-Based Multi-Partitioning
نویسندگان
چکیده
Rocci and Vichi (2006) have recently introduced the two-mode multi-partitioning model with the aim to cluster both objects (rows) and variables (columns) of a two-way data matrix. The new methodology allows to partition the set of objects and to obtain a partition of the variables for each class of the partitions of the objects. In this paper a model-based approach in the field of the maximum likelihood clustering is proposed. The model is extended to the supervised classification framework. A specific algorithm is introduced and its performances are discussed by means of a simulation study. Finally, the new methodology is applied to data sets to show its features.
منابع مشابه
Presentation of an efficient automatic short answer grading model based on combination of pseudo relevance feedback and semantic relatedness measures
Automatic short answer grading (ASAG) is the automated process of assessing answers based on natural language using computation methods and machine learning algorithms. Development of large-scale smart education systems on one hand and the importance of assessment as a key factor in the learning process and its confronted challenges, on the other hand, have significantly increased the need for ...
متن کاملPresentation of an efficient automatic short answer grading model based on combination of pseudo relevance feedback and semantic relatedness measures
Automatic short answer grading (ASAG) is the automated process of assessing answers based on natural language using computation methods and machine learning algorithms. Development of large-scale smart education systems on one hand and the importance of assessment as a key factor in the learning process and its confronted challenges, on the other hand, have significantly increased the need for ...
متن کاملSummarizing Decisions in Spoken Meetings
This paper addresses the problem of summarizing decisions in spoken meetings: our goal is to produce a concise decision abstract for each meeting decision. We explore and compare token-level and dialogue act-level automatic summarization methods using both unsupervised and supervised learning frameworks. In the supervised summarization setting, and given true clusterings of decisionrelated utte...
متن کاملComparison Between Unsupervised and Supervise Fuzzy Clustering Method in Interactive Mode to Obtain the Best Result for Extract Subtle Patterns from Seismic Facies Maps
Pattern recognition on seismic data is a useful technique for generating seismic facies maps that capture changes in the geological depositional setting. Seismic facies analysis can be performed using the supervised and unsupervised pattern recognition methods. Each of these methods has its own advantages and disadvantages. In this paper, we compared and evaluated the capability of two unsuperv...
متن کاملComparison of Drug Resistance pattern under supervised Vs unsupervised treatment of Tuberculosis
Background: The prevalence of drug resistance was higher in areas with poor tuberculosis control. Resistance to Anti tuberculosis treatment was found in all 35 countries and regions surveyed. Objective: To Compare of Drug Resistance pattern in cases under supervised vs unsupervised treatment. Study design: Hospital based study. Setting: Department of Pulmonary Medicine, Motilal Nehru Medical Co...
متن کامل