clustering techniques
1Consensus clustering — Clustering is the assignment of objects into groups (called clusters) so that objects from the same cluster are more similar to each other than objects from different clusters. Often similarity is assessed according to a distance measure.… …
2Fuzzy clustering — is a class of algorithm in computer science. Explanation of clustering Data clustering is the process of dividing data elements into classes or clusters so that items in the same class are as similar as possible, and items in different classes… …
3Data Analysis Techniques for Fraud Detection — Fraud is a million dollar business and it is increasing every year. The PwC global economic crime survey of 2009 suggests that close to 30% of companies worldwide reported fallen victim to fraud in the past year[1] Fraud involves one or more… …
4List of writing techniques — The literature on journalling and creative writing has generated various writing techniques to encourage self discovery and self expression for those who may wish to expand their techniques or address issues of writer s block.*Alliteration: the… …
5Кластеризация — Кластерный анализ (англ. Data clustering) задача разбиения заданной выборки объектов (ситуаций) на непересекающиеся подмножества, называемые кластерами, так, чтобы каждый кластер состоял из схожих объектов, а объекты разных кластеров существенно …
6Кластерный анализ — Для улучшения этой статьи по математике желательно?: Проставив сноски, внести более точные указания на источники. Исправить статью согласно стилистическим правилам Википедии. Переработать офо …
7Computational phylogenetics — is the application of computational algorithms, methods and programs to phylogenetic analyses. The goal is to assemble a phylogenetic tree representing a hypothesis about the evolutionary ancestry of a set of genes, species, or other taxa. For… …
8Concept mining — is an activity that results in the extraction of concepts from artifacts. Solutions to the task typically involve aspects of artificial intelligence and statistics, such as data mining and text mining. Because artifacts are typically a loosely… …
9IBM WebSphere Application Server — (WAS), a software application server, is the flagship product within IBM s WebSphere brand. WAS is built using open standards such as Java EE, XML, and Web Services. It works with a number of Web servers including Apache HTTP Server, Netscape… …
10Weka (machine learning) — Infobox Software name = Weka caption = Weka 3.5.5 with Explorer window open with Iris UCI dataset developer = University of Waikato latest release version = 3.4.13 (book), 3.5.8 (developer) latest release date = July 16, 2008 operating system =… …
