Distance Measure Method for Data — WINDist
DISTANCE MEASURE FOR ORDINAL DATA *
... ordinal data. The ordinal character of the data required the application of a specific measure of the object’s dis- ...new measure of an objects similarity, which can be applied in the ...
7
A Comparative Study of TOPSIS Method via Different Distance Measure
... one method which has a great importance in the field of research is Technique for Order Performance by Similarity to Ideal Solution ...TOPSIS method crisp data are used and further it is extended ...
9
A Measure of Aggregate Syntactic Distance
... Acknowledgments We are grateful to Lisa Lena Opas-H¨anninen, Pekka Hirvonen and Timo Lauttamus of the Uni- versity of Oulu, who made the data available and consulted extensively on its analysis. We also thank ...
9
Data Classification with Modified Density Weighted Distance Measure for Diffusion Maps
... a distance measure that preserves local information of a given ...The distance between a pair of data points is short providing there exist some paths connecting them; that is, the affinity ...
7
Robust Topological Inference: Distance To a Measure and Kernel Distance
... (the distance of any point x to ...the distance function. However, the empirical distance function is highly non-robust to noise and ...The distance-to-a-measure (DTM), introduced by ...
40
Distance to default as a measure of default risk
... new data points that aren’t specified, but they actually fit with the sample ...of data points. This measure will be necessary to be performed in order to link balance sheets since we want to extract ...
43
Ranking of generalized fuzzy numbers using distance measure and similarity measure
... similarity measure is inversely related to distance ...the distance between fuzzy sets and as well as fuzzy numbers have gained more attention from researchers ...the distance measure ...
12
Video Shot Detection using Distance Measure
... extracting method is ...the distance between two consecutive frames. Afterwards, the distance is compared with threshold for detecting the ...various distance measures for video shot detection ...
8
A Measure of Vision Distance for Optimization of Camera Networks
... Henry David oreau (1817–1862) 3.1 Overview e design of vision systems is, in most cases, executed by a vision specialist, who will integrate a solution using off-the-shelf cameras and optics. e crucial part of the ...
104
Mahalanobis Distance-the Ultimate Measure for Sentiment Analysis
... text data and application of MD as a measure to classify the ...using data mining techniques, after the extraction of words and phrases from all the review documents, Singular Value Decomposition ...
6
On the rate of convergence in Wasserstein distance of the empirical measure
... Unfortunately, the construction of Boissard-Le Gouic, based on iterative trees, was a little too complicated to yield sharp rates. On the contrary, the method of [16], exposed in details in the next section, is ...
26
A bioinformatic implementation of mutual information as a distance measure for
... of data sets produced in genetic experiments is steadily ...such data, clustering and distance based procedures are useful tools for identifying groups of variables associated with outcomes of ...a ...
17
Fuzzy V-Measure - An Evaluation Method for Cluster Analyses of Ambiguous Data
... artificial data, by approximating the ambiguity rates as exhibited in actual linguistic ...a data set is the dis- tribution of class memberships – ...of data size, while being easy to con- struct and ...
7
Data gathering method to measure the effects of resource input on the production process
... This can be used to determine down and up time and effectiveness of the equipment. But we don't want to make a simulation model, but it give s a good insight in how you might do data collection. 3 This paper is ...
187
A Keyword Distance Measure Using Hyper Graph Distance Measure Algorithm for the Semantic Web to Real Images and Universal Resource Locator
... keywords matching to second ,so on user retrieves from the database. Obtained real images are verified with the synonym has been find from the user input after the output is displayed. Since URL are many nowadays ...
6
A new distance measure for model-based sequence clustering
... different distance measures and clustering methods against variations of the mean length L of the data sequences for a fixed length variation V of 40 percent in a data set comprised N ¼ 80 ...
7
A New Evidential Distance Measure Based on Belief Intervals
... evidential distance measures to the unknown patterns brought us their respective distances to healthy and unhealthy classes which were used as criteria to classify people in the classes, so as less distance ...
14
Fuzzy Regression Model Based on Fuzzy Distance Measure
... the data struc- ture was simple, for example, in Example 1 the data were single variable symme- tric triangular fuzzy number, in Example 2 the input was a single variable crisp and the output was LR fuzzy ...
15
d((x, y), (a, b)) is the distance function that measure
... Abstract—This paper describes the reinforcement learning (RL) algorithm for the minimal consistent subset identification (MCSI) problem. MCSI is widely used in pattern recognition to select prototypes from a training set ...
5
A Theoretical Development of Distance Measure for Intuitionistic Fuzzy Numbers
... A method of ranking IFNs based on these metrics was also suggested and investigated in that ...this distance measure is not effective for some cases. The distance measures proposed by ...
25