Cluster validity and uncertainty assessment for self‐organizing map pest profile analysis
نویسندگان
چکیده
منابع مشابه
Analysis of Mobile Radio Access Network Using the Selforganizing Map
Abstract: Mobile networks produce a huge amount of spatio-temporal data. The data consists of parameters of base stations and quality information of calls. The Self-Organizing Map (SOM) is an efficient tool for visualization and clustering of multidimensional data. It transforms the input vectors on two-dimensional grid of prototype vectors and orders them. The ordered prototype vectors are eas...
متن کاملHardware Implementations of Kohonen's Selforganizing Feature Map
In this paper we present a hardware realization of Kohonen's selforganizing feature map as a neural coprocessor connected to a personal computer (PC). We compare two concepts for this coprocessor, a vector-component-serial and processing-element-parallel array processor and a vector-component-parallel and processing-element-serial vector processor. Finally we give an overview about the whole sy...
متن کاملdiagnostic and developmental potentials of dynamic assessment for writing skill
این پایان نامه بدنبال بررسی کاربرد ارزیابی مستمر در یک محیط یادگیری زبان دوم از طریق طرح چهار سوال تحقیق زیر بود: (1) درک توانایی های فراگیران زمانیکه که از طریق برآورد عملکرد مستقل آنها امکان پذیر نباشد اما در طول جلسات ارزیابی مستمر مشخص شوند; (2) امکان تقویت توانایی های فراگیران از طریق ارزیابی مستمر; (3) سودمندی ارزیابی مستمر در هدایت آموزش فردی به سمتی که به منطقه ی تقریبی رشد افراد حساس ا...
15 صفحه اولA Hardware Supported System for Kohonen's Selforganizing Map
In this paper we present a system which enables easy and fast computation of Kohonen's selfor-ganizing map (SOM). It is a hardware supported system consisting of diierent parts. A neural coprocessor (COKOS) is connected to a personal computer (PC) by a special, asynchronous interface. The neural coprocessor works vector-component-parallel and processing-element-serial and speeds up the performa...
متن کاملCluster validity analysis using subsampling
I n t r o d u c t i o n The word "clustering" (unsupervised classification) refers to methods of grouping objects based on some similarity measure between them. Clustering algorithms can be classified into four classes, namely Partitional, Hierarchical, Density-based and Grid-based [8]. Each of these classes has subclasses and different corresponding approaches, e.g., conceptual, fuzzy, selforg...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Methods in Ecology and Evolution
سال: 2016
ISSN: 2041-210X,2041-210X
DOI: 10.1111/2041-210x.12669