Clustering algorithms are highly dependent on the features used and the type of the objects in a particular image. By considering object similar surface variations (SSV) as well as the arbitrariness of the fuzzy c-means (FCM) algorithm for pixel location, a fuzzy image segmentation considering object surface similarity (FSOS) algorithm was developed, but it was unable to segment objects having ...

In several papers, clustering has been used for preprocessing datasets before applying classification algorithms in order to enhance classification results. A strong clustered dataset as input to classification algorithms can significantly improve the computation time. This can be particularly useful in “Big Data” where computation time is equally or more important than accuracy. However, there...

Magnetic data is useful in both hydrocarbon exploration and mining exploration. In hydrocarbon exploration, aeromagnetic data is an effective method for locating strike-slip faulting in magnetic basement. Also, high resolution surveys enhance delineation of both subtle basement features and intrasedimentary sources. In fact, magnetic methods has evolved from its sole use for mapping basement st...

شور : ،ينيلاب ييامزآراک هعلاطم نيا رد ۲۰ يحارج لمع ديدناك يندومزآ هب يموتكرتسيه دندش هداد ياج لرتنک و شيامزآ هورگ ود رد يفداصت روط . راتفر لوط رد يحارج زا شيپ يتخانش ينامرد ۸ ورگ یارب هسلج شيامزآ ه دوبهب عيرست ظاحل زا هورگ ود ره ،يحارج لمع زا سپ و دش هداد شزومآ رد يرتسب ياهزور دادعت ،يفرصم نكسم يوراد زود نازيم ينعي يمسج تيلاعف هب تشگزاب و ناتسراميب دندش يسررب هرمزور ياه . هداد شهوژپ ياه يرام...

In web search applications, queries are submitted to search engines to represent the information needs of users. Discovering the number of diverse user search goals for a query and depicting each goal with some keywords automatically. In the existing work propose a novel approach to infer user search goals by analyzing search engine query logs. First propose a novel approach to infer user searc...

کچ ی هد پ ی ش مز ی هن ه و فد : ساسا د مردنس رد نامرد ي سفنت سرتس ي ظنت نادازون داح ي سکا لدابت م ي و نژ د ي سکا ي د هدوب نبرک تسا طسوت هک کبس اـه ي ناـمرد ي فلتخم ي هلمجزا لکتورپ INSURE ماجنا م ي دوش ا اذل . ي هعلاطم ن فدهاب اقم ي هس عضو ي ت اه ي ندب ي عضو رب رمد و زاب قاط ي سفنت ت ي هـب لاتـبم سراـن نادازون ردنس د م ي سفنت سرتس ي لکتورپ اب نامرد تحت داح INSURE ماجنا درگ ...

Background removal is an application of image segmentation. There are many methods for image segmentation. In this paper, Fuzzy C-Means (FCM) is used for the image segmentation. In this paper, the clusters centroid is given as input from the histogram of the image. These inputs are updated and passed through FCM algorithm to get segmented images. The segmented images are added to remove the bac...

صخلملا The aim of this study isto examine whether radiofrequency (RF) used in cellular phone communications at a specific absorption rate (SAR) less than 1.2 w/kg could increase the spontaneous rate of sister chromatid exchanges (SCE) or elicit alterations both in the cell replication index (CRI) and mitotic index (MI) in human peripheral blood lymphocytes. Whole blood samples were obtained fro...

One of the main drawbacks of the FCM clustering algorithm is that it does not calculate the suitable number of clusters. This paper presents a method to solve this problem, by means of an equalization function (using uniform data) for the FCM functional J. The results for 2 and 3 dimensional data tests are also presented.

This paper describes a technique to overcome the sensitivity of fuzzy C-means clustering for unequal cluster sizes in multivariate images. As FCM tends to balance the number of points in each cluster, cluster centres of smaller clusters are drawn to larger adjacent clusters. In order to overcome this, a modified version of FCM, called Conditional FCM, is used to balance the different sized clus...