Description: c45决策树改进算法,主要用于数据挖掘中的聚类分析。对从事dm研究的人应该有用-C45 Decision Tree Algorithm, mainly for data mining of cluster analysis. Dm engaged in research should be useful Platform: |
Size: 1024 |
Author:仲伟宽 |
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Description: 一个小型的数据挖掘器应用软件,综合数据挖掘的各种功能,包括关联分析模块、分类模块、聚类分析模块-a small application for data mining software, integrated data mining of various functions, including relational analysis module, Classification Module, cluster analysis module Platform: |
Size: 4166656 |
Author:lizi |
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Description: 一个自然语言处理的Java开源工具包。LingPipe目前已有很丰富的功能,包括主题分类(Top Classification)、命名实体识别(Named Entity Recognition)、词性标注(Part-of Speech Tagging)、句题检测(Sentence Detection)、查询拼写检查(Query Spell Checking)、兴趣短语检测(Interseting Phrase Detection)、聚类(Clustering)、字符语言建模(Character Language Modeling)、医学文献下载/解析/索引(MEDLINE Download, Parsing and Indexing)、数据库文本挖掘(Database Text Mining)、中文分词(Chinese Word Segmentation)、情感分析(Sentiment Analysis)、语言辨别(Language Identification)等API。-A natural language processing of the Java open-source toolkit. LingPipe currently have a lot of useful features, including Subject Classification (Top Classification), Named Entity Recognition (Named Entity Recognition), part of speech tagging (Part-of Speech Tagging), sentence detection problem (Sentence Detection), spell-checking query (Query Spell Checking), interest in the phrase detection (Interseting Phrase Detection), Cluster (Clustering), Character Modeling Language (Character Language Modeling), medical literature to download/analysis/index (MEDLINE Download, Parsing and Indexing), text mining database (Database Text Mining), Chinese word segmentation (Chinese Word Segmentation), emotional analysis (Sentiment Analysis), language identification (Language Identification), such as API. Platform: |
Size: 4669440 |
Author:张国栋 |
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Description: 用Java语言实现的空间聚类分析程序,对离散点按照距离标准进行分类。-Java language with the spatial clustering analysis procedures, in accordance with the distance between discrete points of criteria. Platform: |
Size: 8192 |
Author:荆凯旋 |
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Description: 该算法是对weka算法包功能的拓展,是聚类算法中的随机聚类分析。需要weka算法包支持。-The algorithm is a function of the weka package expansion algorithm is stochastic clustering algorithm in cluster analysis. Package to support the needs of weka algorithm. Platform: |
Size: 2048 |
Author:zhangrui |
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Description: 利用Java实现的K-均值算法,K-Mean 分群法是一种分割式分群方法,其主要目标是要在大量高纬的资料点中找出 具有代表性的资料点;这些资料点可以称为群中心,代表点;然后再根据这些群中心,进行后续的处理,可用于数据挖掘中的聚类分析-Java implementation using K-means algorithm, K-Mean grouping method is a fragmented grouping method, whose main goal is to a large number of data points in the high latitudes to find representative data points these data points can be called cluster center, the representative point then these groups center, follow-up treatment can be used for data mining in the cluster analysis Platform: |
Size: 2048 |
Author:阚涛 |
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Description: 简单网络管理协议(SNMP:Simple Network Management Protocol)是由互联网工程任务组(IETF:Internet Engineering Task Force )定义的一套网络协议。简单网络管理协议(SNMP)是一种应用层协议, 便于在网络设备间交换管理信息。它是TCP/IP协议簇的一部分,也是一个标准的用于管理IP网络上结点的协议。网络管理员使用SNMP监视网络性能、检测分析差错、配置网络设备,发现和解决网络故障, 并计划网络增长。本文主要介绍了SNMP/MIB有关理论基础知识和数据的采集原理,并针对MIB信息库的单个对象和表进行分析,用java编程实现了数据采集功能。-Simple Network Management Protocol (SNMP: Simple Network Management Protocol) is the Internet Engineering Task Force (IETF: Internet Engineering Task Force) defines a set of network protocols. Simple Network Management Protocol (SNMP) is an application layer protocol, to facilitate the exchange of management information between network devices. It is the TCP/IP protocols as part of the cluster is a standard for managing IP network node protocol. Network administrators use SNMP to monitor network performance, detection of errors, configure the network devices, identify and solve network problems, and plan for network growth. This paper describes the SNMP/MIB related to basic knowledge and principles of data collection and information base for a single MIB objects and tables for analysis, using java programming the data acquisition. Platform: |
Size: 508928 |
Author:出现 |
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Description: Fuzzy clustering is a class of algorithms for cluster analysis in which the allocation of data points to clusters is not "hard" (all-or-nothing) but "fuzzy" in the same sense as fuzzy logic. Platform: |
Size: 5120 |
Author:bwindhya |
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Description: 通过JAVA程序实现的小区话务数据聚类分析,该算法简单易操作,适合任意类型的数据。-Through the JAVA program to achieve cell traffic data cluster analysis, the algorithm is simple and easy to operate, suitable for any type of data. Platform: |
Size: 5120 |
Author:周鹏 |
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