[图书][B] Data clustering: theory, algorithms, and applications
The monograph Data Clustering: Theory, Algorithms, and Applications was published in
2007. Starting with the common ground and knowledge for data clustering, the monograph …
2007. Starting with the common ground and knowledge for data clustering, the monograph …
The dimensionality and structure of species trait spaces
Trait‐based ecology aims to understand the processes that generate the overarching
diversity of organismal traits and their influence on ecosystem functioning. Achieving this …
diversity of organismal traits and their influence on ecosystem functioning. Achieving this …
[PDF][PDF] Research article standardization and its effects on k-means clustering algorithm
IB Mohamad, D Usman - Res J Appl Sci Eng Technol, 2013 - pdfs.semanticscholar.org
Data clustering is an important data exploration technique with many applications in data
mining. K-means is one of the most well known methods of data mining that partitions a …
mining. K-means is one of the most well known methods of data mining that partitions a …
[图书][B] Advances in K-means clustering: a data mining thinking
J Wu - 2012 - books.google.com
Nearly everyone knows K-means algorithm in the fields of data mining and business
intelligence. But the ever-emerging data with extremely complicated characteristics bring …
intelligence. But the ever-emerging data with extremely complicated characteristics bring …
Anomaly detection: A survey
Anomaly detection is an important problem that has been researched within diverse
research areas and application domains. Many anomaly detection techniques have been …
research areas and application domains. Many anomaly detection techniques have been …
[图书][B] Computational intelligence
Computational Intelligence comprises concepts, paradigms, algorithms, and
implementations of systems that are supposed to exhibit intelligent behavior in complex …
implementations of systems that are supposed to exhibit intelligent behavior in complex …
A novel ranking-based clustering approach for hyperspectral band selection
Through imaging the same spatial area by hyperspectral sensors at different spectral
wavelengths simultaneously, the acquired hyperspectral imagery often contains hundreds of …
wavelengths simultaneously, the acquired hyperspectral imagery often contains hundreds of …
[图书][B] An introduction to information retrieval
CD Manning - 2009 - edl.emi.gov.et
As recently as the 1990s, studies showed that most people preferred getting information
from other people rather than from information retrieval systems. Of course, in that time …
from other people rather than from information retrieval systems. Of course, in that time …
[图书][B] Data mining: concepts and techniques
Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and
methods for mining patterns, knowledge, and models from various kinds of data for diverse …
methods for mining patterns, knowledge, and models from various kinds of data for diverse …
Mean shift: A robust approach toward feature space analysis
D Comaniciu, P Meer - IEEE Transactions on pattern analysis …, 2002 - ieeexplore.ieee.org
A general non-parametric technique is proposed for the analysis of a complex multimodal
feature space and to delineate arbitrarily shaped clusters in it. The basic computational …
feature space and to delineate arbitrarily shaped clusters in it. The basic computational …