This book constitutes the refereed proceedings of the 10th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2014, held in St. Petersburg, Russia in July 2014. The 40 full papers presented were carefully reviewed a
2025 Interpretable categorical data clustering via hypothesis testing 2022 A categorical data clustering framework on graph representation 2019 Optimal mathematical programming and variable neighborhood search for k-modes categorical data clustering 2017 Clustering ensemble selection for categorical data based on ...
A method is proposed for recognition of a stipulated pattern in an image data set recorded by means of a device for recording of at least two electromagnetic frequency spectra, which has a number of image point data with the following steps: - Formation of reference data vectors with ...
This book constitutes the refereed proceedings of the 7th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2011, held in New York, NY, USA. The 44 revised full papers presented were carefully revi... P Perner 被引量: 0发表: 2007年 [Lecture Notes in ...
This data set contains 8 oils. The data is presented in an interval format with the fifth feature being a categorical variable. All oils are plotted as equivalent intervals zoomstar in Fig. 5. Original order of categories was used. It becomes clearly visible that there are two types of ...
An experimental comparison of several simple inexpensive ways of doing pattern recognition when some data elements are missing (blank) is presented. Pattern recognition methods are usually designed to deal with perfect data, but in the real world data elements are often missing due to error, equipme...
In particular, this is due to two largely ignored problems: (1) open-view problem: the trained model is required to recognise a familiar class under drastically different environment; and (2) open-set problem: the trained model is required to reject an imposter from claiming the identity of ...
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In this paper we will briefly discuss the insufficiency on these two criteria, and argue the importance of including interestingness/dependency as a criterion for (association) pattern discovery. From the practical computational perspective, we will show how the proposed criterion grounded on ...
start of the previous field. Offsets may be in bytes, bits, octets, or other units. In particular, the specific order of the fields is defined, each field being followed by a specifically defined set of possible fields, each field having a specifically defined value or set of possible ...